Legal professional and SLD workshop attendee Low Wei Ling speaks to Tay Soo Sien on two of her passions: Tech and animals
Founder of Keep C.A. T. S., a Singapore initiative that looks after stray cats, Low Wei Ling was an attendee of one of She Loves Data’s free workshops. Wei Ling is just the kind of person She Loves Data attracts: one who is curious and constantly seeking to do things better.
“As Gandhi said, how you treat animals is a reflection of your society.” Wei Ling reminded me as we found a quiet corner to chat. Like some, she felt society looks at things too much from an economical value point of view. Hence, strays are seen as a burden rather than opportunities. Yet, animals have their value, even strays, as they can be adopted, and teach children about kindness.
The cat aficionado also shared how understanding SQL at She Loves Data workshops sparked completely new ideas about the way we handle animals. Rescue organizations used to need to spend an inordinate amount of time on logistics and operational tasks. Now, there is the choice to automate and streamline many such activities. This allows them to spend more time caring for animals; serving a larger and wider community of pet adopters.
The serial socialpreneur thought about using data to see what kinds of cats are most often adopted or what are the peak periods for abandonment. She wondered aloud how different animal welfare groups can work together to collate such data, noting that it was almost an imperative since they are already so tight with resources.
Looking back at the first workshop she attended, Wei Ling added, “I really like it because it gives me an introduction to what data analytics is about- just a taster!” Subsequently, she met up with course instructor and Director, Consulting and Client Solutions at Meiro, Quinn Pham who helped her understand the challenges and possibilities of using an aggregator based solution for a unified platform for multiple animal welfare groups.
With her interest in data sufficiently piqued, Wei Ling took the plunge, obtained a scholarship, and finished her data science studies in Hong Kong. She was only one of two females out of a class of fifteen men.
We wish her every success in her data and Keep C.A.T.S. endeavours!
