It’s been a good year for the society with a very successful Datathon and a well-presented lecture series on ML. However, as the year progresses, engagement seems to have declined. Next year, I’ll focus on keeping small things going throughout the whole year so everyone can keep learning. I want to start holding more mini (and major) competitions among the society for everyone to have fun while learning, ...
Right now, Data Science Society is pretty quiet. I want to bring it back properly. What I’ll focus on: Projects that actually ship. Small teams working on real coding and data problems for startups. Clear scope, proper timelines, and something tangible at the end. Access to professors. Informal evenings with professors and PhD students across departments so members can find research ideas, get pointed in the ...
If you are interested in data science, statistics, and real world applications of machine learning, we will probably get along. I study Mathematics and work as a Quantitative Research Intern analysing large scale datasets to study market behaviour and build predictive models. My goal as Chair is to help make the Data Science Society a place where members can genuinely develop practical data science skills and apply ...