Intro to Gen AI
What is Generative AI?
Real-world Examples
Understanding Neural Networks
Generative Models Explained
How Generative Models Learn
Hands-on Exploration
Next Steps in your learning journey
How can you leverage them in your daily lives
Navigating the Future: Top Data Trends in 2024
#Business #Professional #Data
Date/Time:
March 5, 2024, 4:30 PM AEDT
As we step into 2024, the data landscape continues to evolve at a rapid pace, presenting both opportunities and challenges for organizations. From the rise of AI-driven decision-making to the growing importance of data privacy and ethics, staying ahead of the curve is crucial. Join us for an insightful panel discussion as we delve into the top data trends shaping 2024 and beyond.
Key Topics:
1. Gen AI and Machine Learning: Explore how Gen AI are transforming industries, from predictive analytics to autonomous systems, and the implications for businesses and society.
2. Data Governance and Security: Examine the challenges of managing and securing vast amounts of data, including issues related to data quality, governance frameworks, and cybersecurity.
3. Real Time Data Activation : Explore the potential of real time data activation to revolutionize data processing and analysis, and its implications for data-driven decision-making.
Panelists:
1. Shobha Joshi
2. Leigh Ann Shetland
3. Shibani Rai
4. Paco Albie
Join us for an engaging discussion as we explore the top data trends of 2024 and how they are reshaping the way organizations collect, analyze, and utilize data. Gain valuable insights from our panel of experts and learn how to navigate the data deluge in the digital age.
PACO ALBIE, Co-founder & Director | Digital Immersion
Specializing in customer data, technology, and personalisation within the Australian retail and digital space , Paco led digital strategies across some of the nation’s largest retailers, including Chemist Warehouse, Country Road Group The Good Guys and Officeworks as well as expanding globally across Love To Dream. As the Co-Founder of Digital Immersion, he helped companies deliver growth by maximising their customer data and technology end to end.
LEIGH-ANNE SHARLAND, Mindset Strategist & Transformational Coach
Leigh-Anne Sharland is a 40 year veteran as a woman in data. Working on significant complex data driven systems to support 24×7 dynamic businesses she has uncovered many key insights into maximising company data to improve productivity, profitability and benefit for customers and staff. Leigh-Anne has a deep passion for staff empowerment and skill development in the data field.
SHOBHA JOSHI , Sales Engineering Manager APJ | Snowflake
Shobha is a Sales Engineering leader at Snowflake with over 15 years of experience in the tech space working for product companies and consultancy services, predominantly in the data and analytics field.
SHIBANI RAI, Master Data Management Consultant | QMetrix
Shibani is a data practitioner who excels at building data-driven solutions. She is tech-savvy, outgoing and commended on her ability to communicate complex data solutions in simple layman terms.
Shibani is currently involved in Master Data Management projects in Australia and has previously worked to build analytics solutions at a leading research university in Los Angeles. She also launched the California chapter of She Loves Data, collaborating with data stewards across California to provide free data and tech workshops.
She holds a Bachelor of Industrial Engineering from RVCE and a Master of Business Information Systems from Monash University.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. Can I join from anywhere in the world?
A. As this is a closed door in-person networking event, we can only accommodate Australia – based business contacts – verified partners and community members – at this time.
Q. Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this is open to everyone irrespective of gender.
Q. Is this an interactive discussion or just a ‘listen-in’ webinar?
A. Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the polling and Q&A at the end of the discussion.
Q. What if something comes up and I need to retract my registration?
A. If you can’t join the in-person meetup, let us know at least a day before, and we’ll be able to offer your spot to someone else on the waitlist. Please email us at Signature_programs@shelovesdata.com, and we’ll help.
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Excel for Professionals – Part 2
About She Loves Data Signature Programs
The Certified Signature Programs represent a suite of educational offerings tailored by the dedicated volunteers of She Loves Data, who are not only professionals but also seasoned practitioners in their respective fields.
Designed to cater to a diverse range of learners, from beginners eager to learn to seasoned tech professionals looking to sharpen their skills, our programs offer comprehensive insights into the ever-evolving tech landscape.
Certification requires a demonstration of proficiency, with participants needing to achieve at least a 70% score on assessments. This rigorous standard maintains the certification’s prestige, ensuring it stands as a respected symbol of the participant’s acquired expertise.
Date/Time:
March 23, 2024, 11:00 AM SGT | 8:30 AM IST | 4:00 AM CET
In the world of many sophisticated tools and programming languages such as SQL, Python, Tableau/Power BI etc., there is still a place and relevance for Excel as thousands of businesses and organisations around the world still use Excel every day. Knowing how to navigate and use Excel to its full potential will put participants in good stead and lay the foundations to then further expand their skills.
Target Audience
– New to the world of Excel and want to understand more about how to incorporate Excel when working with data for your business and/or clients.
– If you have been using Excel previously at a beginner level but want to go beyond the basics.
– Looking to get a refresher of Excel features to pick up new tips, tricks and how to work more efficiently with data and information.
– People who want to learn how to use Excel for cleaning, organising, analysing and visualising data and information.
Part 2 Main Topics:
– Functions and Formulas
– Summarising Data
– Visualising Data
By the end of Part 2, participants will have been introduced to commonly used Excel functions and learnt how to write formulas to use these functions to analyse and summarise data. Using real life industry examples, participants will learn how to collate, pivot and visually present data to create reports and dashboards.
Skills Learnt
– Data Organisation, Collation and Cleaning
– Data Summary and Analysis
– Data Visualisation
– Creating business reports and summaries
Speaker
BRIGITTE ZAGHLOUL, Technology Trainer, Program & Systems Co-ordinator
Brigitte currently works as a Technology Trainer for one of Australia’s largest law firms. She also works as a Program and Systems Co-Ordinator for an Indigenous owned training organization focused on upskilling and training under-represented communities in Australia. Brigitte has worked as a technical professional for over 20 years in the areas of programming, database development, software support, systems implementation, data analytics and technology training for a number of global organizations; Nielsen, Unilever and Kimberly-Clark. She is passionate about sharing her knowledge. She is a life long learner and advocates the importance of improving and developing not just technical skills but overall personal development. You are never too old to learn something new!
VNM SHANKAR, KANDREGULA, Consultant – Data Engineering
Shankar, a seasoned professional with over 6 years of expertise in data analytics, holds a multifaceted career journey spanning roles as a Data Analyst, Associate Lead, and Consultant. Currently a driving force at Genpact, Shankar navigates the intricate world of data with finesse, utilizing tools such as SQL, Excel, and Power BI to extract actionable insights and catalyze strategic decision-making. In his ongoing journey, Shankar remains steadfast in his commitment to continuous learning and innovation. Acknowledging the dynamic nature of the data landscape, he actively seeks out opportunities to stay abreast of emerging technologies and methodologies.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q. Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online webinar is open, to everyone irrespective of gender.
Q. Is this an interactive discussion or just a ‘listen-in’ webinar?
A. Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the polling and Q&A at the end of the discussion.
Q. Is this a program certified?
A. Yes, this is a certified program. You have to complete assessments for both Part 1 and part 2 and your score must be at least 70%. After successful completion you’ll receive digital certificate and badge.
Q. What if something comes up and I need to retract my registration?
A. If you can’t join the online meetup, let us know at least a day before, and we’ll be able to offer your spot to someone else on the waitlist. Please email us at Signature_programs@shelovesdata.com, and we’ll help.
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Excel for Professionals – Part 1
About She Loves Data Signature Programs
The Certified Signature Programs represent a suite of educational offerings tailored by the dedicated volunteers of She Loves Data, who are not only professionals but also seasoned practitioners in their respective fields.
Designed to cater to a diverse range of learners, from beginners eager to learn to seasoned tech professionals looking to sharpen their skills, our programs offer comprehensive insights into the ever-evolving tech landscape.
Certification requires a demonstration of proficiency, with participants needing to achieve at least a 70% score on assessments. This rigorous standard maintains the certification’s prestige, ensuring it stands as a respected symbol of the participant’s acquired expertise.
Date/Time:
March 16, 2024, 11:00 AM SGT| 8:30 AM IST | 4:00 AM CET
In the world of many sophisticated tools and programming languages such as SQL, Python, Tableau/Power BI etc., there is still a place and relevance for Excel as thousands of businesses and organisations around the world still use Excel every day. Knowing how to navigate and use Excel to its full potential will put participants in good stead and lay the foundations to then further expand their skills.
Target Audience
– New to the world of Excel and want to understand more about how to incorporate Excel when working with data for your business and/or clients.
– If you have been using Excel previously at a beginner level but want to go beyond the basics.
– Looking to get a refresher of Excel features to pick up new tips, tricks and how to work more efficiently with data and information.
– People who want to learn how to use Excel for cleaning, organising, analysing and visualising data and information.
Part 1 Main Topics:
– Overview of Excel Elements & Navigation
– Formatting and Editing
– Working with Data and Cells
– Working with Worksheets and Workbooks
– Security & Protection
– Keyboard Shortcut Keys
By the end of Part 1, participants will have gained a knowledge of what Excel is and how to navigate the tool. They will have learnt how to format and work with data, cells, worksheets, and workbooks focusing on real life industry examples of what could be expected of them when sorting, cleaning, and organising data. Participants will also learn how to protect their work. Throughout the workshop, participants will be shown keyboard shortcut keys which will enable them to perform tasks more efficiently.
Next Steps – Job Opportunities
In the world of many sophisticated tools and programming languages such as SQL, Python, Tableau/Power BI etc., there is still a place and relevance for Excel as thousands of businesses and organisations around the world still use Excel every day. Knowing how to navigate and use Excel to its full potential will put participants in good stead and lay the foundations to then further expand their skills.
Some industry job roles which use Excel include but are not limited to:
– Data Analyst
– Business Analyst
– Data Officer
– Data Entry Officers
– Accounts/Finance Clerks and Analysts
– Data Consultants
Speaker
BRIGITTE ZAGHLOUL, Technology Trainer, Program & Systems Co-ordinator
Brigitte currently works as a Technology Trainer for one of Australia’s largest law firms. She also works as a Program and Systems Co-Ordinator for an Indigenous owned training organization focused on upskilling and training under-represented communities in Australia. Brigitte has worked as a technical professional for over 20 years in the areas of programming, database development, software support, systems implementation, data analytics and technology training for a number of global organizations; Nielsen, Unilever and Kimberly-Clark. She is passionate about sharing her knowledge. She is a life long learner and advocates the importance of improving and developing not just technical skills but overall personal development. You are never too old to learn something new!
In her free time, Brigitte is volunteering for She Loves Data and is part of the Global Signature team and Data Analytics team.
Brigitte
VNM SHANKAR, KANDREGULA, Consultant – Data Engineering
Shankar, a seasoned professional with over 6 years of expertise in data analytics, holds a multifaceted career journey spanning roles as a Data Analyst, Associate Lead, and Consultant. Currently a driving force at Genpact, Shankar navigates the intricate world of data with finesse, utilizing tools such as SQL, Excel, and Power BI to extract actionable insights and catalyze strategic decision-making. In his ongoing journey, Shankar remains steadfast in his commitment to continuous learning and innovation. Acknowledging the dynamic nature of the data landscape, he actively seeks out opportunities to stay abreast of emerging technologies and methodologies.
In his free time, Shankar is volunteering for She Loves Data and is part of the Global Signature team.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q. Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online webinar is open, to everyone irrespective of gender.
Q. Is this an interactive discussion or just a ‘listen-in’ webinar?
A. Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the polling and Q&A at the end of the discussion.
Q. Is this a program certified?
A. Yes, this is a certified program. You have to complete assessments for both Part 1 and part 2 and your score must be at least 70%. After succesfull completion you’ll receive digital certificate and badge.
Q. What if something comes up and I need to retract my registration?
A. If you can’t join the online meetup, let us know at least a day before, and we’ll be able to offer your spot to someone else on the waitlist. Please email us at Signature_programs@shelovesdata.com, and we’ll help.
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Introduction to Python (Part 2) Signature Program
#Data #Beginner #Python
Date/Time:
25th November 2023 From 3:00 PM to 5:00 PM –SGT
– NumPy
– Series
– Dataframe
– Do simple data analysis and data cleaning with Python.
– Understand the difference between NumPy Series, and Dataframe.
– Different ways of combining data in pandas.
Speakers
(Analytics Lead – Incentives Domain)
Lindsay has over 7 years of data industry experience around marketing, business intelligence, and consumer data in digital tech space. An educator at heart, Lindsay has been advocating and teaching data for 5 years for corporates and bootcamp academy. Outside of work, she loves doing outdoor sports and Latin dancing.
(PhD Candidate & Senior Postgraduate TA)
Deborah is a Software Sustainability Institute fellow in the UK and completing her PhD in humanities data science at University College London. She also teaches undergraduate and master’s degrees as part of her PhD. Her research interests are in the areas of data mining, NLP, visualisation, and machine learning in Python. She loves working with data and is passionate about empowering women with data and technology.
FAQs
Q). Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q). Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q). Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online workshop is open, to everyone irrespective of gender.
Q). Is this an interactive discussion or just a ‘listen-in’ workshop?
A.Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the *breakout sessions*, polling and live Q&A portions at the end of the discussion.
Q). What if something comes up and I need to retract my registration?
A. If you can’t join the online meetup, let us know at least a day before and we’ll be able to offer your spot to someone else on the waitlist. Please email us at signature_programs@shelovesdata.com and we’ll help.
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Introduction to Python (Part 1) Signature Program
#Data #Beginner #Python
Date/Time:
18th November 2023 From 3:00 PM to 5:00 PM –SGT
– NumPy
– Series
– Dataframe
– Do simple data analysis and data cleaning with Python.
– Understand the difference between NumPy Series, and Dataframe.
– Different ways of combining data in pandas.
Speakers
(Analytics Lead – Incentives Domain)
Lindsay has over 7 years of data industry experience around marketing, business intelligence, and consumer data in digital tech space. An educator at heart, Lindsay has been advocating and teaching data for 5 years for corporates and bootcamp academy. Outside of work, she loves doing outdoor sports and Latin dancing.
(PhD Candidate & Senior Postgraduate TA)
Deborah is a Software Sustainability Institute fellow in the UK and completing her PhD in humanities data science at University College London. She also teaches undergraduate and master’s degrees as part of her PhD. Her research interests are in the areas of data mining, NLP, visualisation, and machine learning in Python. She loves working with data and is passionate about empowering women with data and technology.
FAQs
Q). Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q). Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q). Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online workshop is open, to everyone irrespective of gender.
Q). Is this an interactive discussion or just a ‘listen-in’ workshop ?
A. Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the *breakout sessions*, polling and live Q&A portions at the end of the discussion.
Q). What if something comes up and I need to retract my registration?
A. If you can’t join the online meetup, let us know at least a day before and we’ll be able to offer your spot to someone else on the waitlist. Please email us at signature_programs@shelovesdata.com and we’ll help.
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Intro to Machine Learning (Part 2)
#Beginner #Data #Machine Learning
Date/Time:
October 21, 2023 (Saturday), 11:00 AM to 1:00 PM SGT
Get hands on knowledge of how to do basic exploratory data analysis (EDA) on a dataset:
– Learn about supervised learning approaches of regression and classification
– Gain understanding of unsupervised learning approach of clustering analysis
– Learn and apply CRISPDM, the industry standard for building machine learning models
– Get exposure to notebooks through Kaggle notebooks – an interactive development tool used for analysis and model development
Pre-requisites :
1. Preliminary understanding of basic machine learning concepts covered in part 1 is a plus.
2. Those who have familiarity with python will find it easier to follow along the hands on section
3. Kaggle account (https://www.kaggle.com/), and Kaggle notebooks will be used for the hands on session. For more information on Kaggle check this link.
Target Audience:
This course is for those who want to form a hands on understanding of key concepts in machine leaning and take their first steps in building a machine learning model following an industry standard approach.
Speaker
Aishwarya Ramakrishnan, Vice President, Banking and Financial Services Industry
Aish has 14+ years of experience leading digital and data transformation and automation initiatives in the financial services industry.
She is a machine learning and AI enthusiast, a proud member of She Loves Data for more than 3 years, a dog lover, and also auctions her original artwork for charity.
Madhura Ganguly, Senior Advisor Data Science, Dell Technologies
Madhura has 11 years of experience working as a data science professional across different industry domains like marketing, retail and supply chain.
She has a passion for teaching and has been part of various technical training programs throughout her career. Madhura enjoys cooking and loves to travel.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, and is open to all. Slots are limited, so please register early!
Q. Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q. Is it only for women?
A. This webinar is open to everyone irrespective of the gender.
Do you have any other questions?
Please contact us and we’ll help you: signature_programs@shelovesdata.com
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Intro to Machine Learning (Part 1)
#Beginner #Data #Machine Learning
Date/Time:
October 7, 2023 (Saturday), 3:00 PM to 4:30 PM SGT
This course will set the foundations for those interested to pursue hands-on machine learning. There are no pre-requisites to this course.
– Understand how ML works and how it became such a ground breaking technology
– Know about buzzwords in ML, different types of ML and how they are leveraged
– Gain exposure to the different job families that work with ML
– Learn about how ML is applied on data to accomplish tasks
– Demystify myths about Machine Learning
– How to avoid a Machine Learning Disaster!
– Know about the tools of ML
– Prepare for your next step in learning machine learning
Target Audience:
This is for people who want to gain introductory knowledge of ML without getting overwhelmed by buzzwords. This is free and open for all.
Speaker
Aishwarya Ramakrishnan, Vice President, Banking and Financial Services Industry
Aish has 14+ years of experience leading digital and data transformation and automation initiatives in the financial services industry.
She is a machine learning and AI enthusiast, a proud member of She Loves Data for more than 3 years, a dog lover, and also auctions her original artwork for charity.
Madhura Ganguly, Senior Advisor Data Science, Dell Technologies
Madhura has 11 years of experience working as a data science professional across different industry domains like marketing, retail and supply chain.
She has a passion for teaching and has been part of various technical training programs throughout her career. Madhura enjoys cooking and loves to travel.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, and is open to all. Slots are limited, so please register early!
Q. Can I join from anywhere in the world?
A. Absolutely! This is a global online event. You can join from any part of the world.
Q. Is it only for women?
A. This webinar is open to everyone irrespective of the gender.
Do you have any other questions?
Please contact us and we’ll help you: support_sg@shelovesdata.com
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Career Series: Data Engineering
#Data # Beginner #Hiring
Date/Time:
Oct 10, 2023 (Tuesday), 06:30 PM London | 7:30 PM Prague
#Data #Beginner #Hiring
Bringing Data together is a crucial step towards understanding how it can help us tell a story…
Data Engineers play a huge role in designing and building the systems which allow us to present data in a format that can be digested by Data Analysts and Scientists. We dread to think of what the Data Lifecycle would look like without them!!
This month, the She Loves Data U.K and Ireland Chapter bring you our second event in the Career Series, which shines a spotlight on the profession of Data Engineering.
Join us ONLINE, to meet our inspiring panellists who will give us insights into how they got involved with this fascinating industry, as well as the series of events which led them to pursuing a professional role. The panel will discuss the challenges and successes in the field of Data Engineering, how it is being used within the industry and what the future of Data Engineering looks like post-2023 across the globe!
Learn more about how you can gain the skills to ‘break-into’ Data Engineering and what recruiters are looking for. Save your questions and come along to ask our panel in-person!
This event is an excellent opportunity for those who have an interest in:
– Data Engineering
– A career in data/tech industry
– Meeting like-minded people
– Expanding your network
We look forward to welcoming you!
Speakers
Aron Gyenge
Data Scientist·Qbiz
Aron Gyenge is a consultant/ data engineer/ data scientist at Qbiz UK, currently working on projects involving large language models and vector databases. Coming from a background in philosophy and digital humanities, Aron is not only interested in the technical aspects of data solutions but their effects on social, political and cultural issues. He enjoys the creative aspect of streamlining and structuring applications. He also blogs his experiences on Medium. Aron holds a BA in Philosophy and an MA in Big Data in Culture & Society – both awarded by King’s College London. In his free time, he works on personal projects or enjoys karaoke.
Lead Azure Consultant·Agile Solutions
My name is Alpa Buddhabhatti, and I serve as a Lead Azure Data Engineer. I hold certifications as an Azure Trainer, Azure Data Engineer, Azure Developer, and Azure Data Scientist. My expertise spans a wide range of Azure technologies, including Azure Data Factory, Azure Synapse Analytics, Azure Logic Apps, Azure Functions, Azure DevOps, Azure Networking, and security services. My passion lies in continuous learning and the joy of sharing knowledge with others
Director of Engineering·
Flagstone
Nicole is an Engineering director with over 20 years technical experience in several different fields. Currently supporting software engineering for Flagstone, she has also been the Centre of Excellence lead for Data at Nationwide Building society and Service Management Lead for the National Trust. She has a varied technical background from data and databases, CRM, development, operations and sysadmin which allows her to take a holistic view of issues and be proactive in helping teams resolve them.
Cristiani Santos da Silva
Solution Architect & Database Migration Specialist·Amazon Web Services (AWS)
Cristiani Santos da Silva is a Solution Architect and Database Migration Specialist at Amazon Web Services (AWS). Having joined AWS in 2021, she brings a rich history as a consultant in database migration. Cristiani thrives in dynamic environments, drawing immense satisfaction from working with diverse clients and navigating varied challenges — each presenting a unique learning opportunity. With a foundational background in Computer Science, Cristiani earned her Bachelor’s degree in 2009. By 2017, she further specialized in database projects, solidifying her position as an expert in the field. Outside of her professional endeavors, Cristiani is an avid plant enthusiast, cherishing moments she spends with her husband, family, and friends. When the skies are clear, she relishes cycling, embracing nature’s beauty.
FAQs
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based outside of UK. Can I still join?
A.Absolutely! This is a global online event. You can join from any part of the world.
Q. Is it only for women?
A. Just like our regular She Loves Data #MeetUp events, this online webinar is open, to everyone irrespective of gender.
Q. Is it an interactive discussion or just a ‘listen in ‘ webinar?
A. Definitely interactive! Your thoughts, feedback and questions are most welcome and will be entertained during the polling and live Q&A portions at the end of the discussion.
Q. What if something comes up & I need to retract my registration?
A. If you can’t join the online meetup, let us know at least a day before and we’ll be able to offer your spot to someone else on the waitlist. Please email us at natasha@shelovesdata.com and we’ll help.
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Data Dialogues with Maurice Audinet
#Beginner #Data
Join us on Jun 8 (Thursday) for the brand new Data Dialogues series from the Hong Kong chapter!
In this in-person event, Mr. Audinet will be discussing the challenges faced by Jurlique, as well as the significance of design and business architecture, and the importance of data governance and ownership.
Date/Time:
June 8, 2023 (Thursday), 07:00 PM to 08:30 PM HKT
Speaker:
Global Head of IT and Digital Transformation @ Jurlique
As a technology leader passionate about user experience, I have been enabling and guiding digital transformation initiatives since 2012. Devoted to building seamless digital journeys, I have worked across the luxury, banking, digital, retail, and travel retail industries for the past 20 years.
A true jack of all trades, my digital experience extends across online streaming, CMS, E-commerce, UX design, online payments, and WeChat ecosystem development. Expanding from this diverse background, I am still eager to discover novel ways to deliver positive digital experiences to users across the globe.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. Is it only for women?
A. This in-person webinar is open to all professional men and women. #HeLovesData too!
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases
