Data Science / ML
Building models and pipelines: forecasting, recommendations, fraud, search, increasingly LLM applications. Most people arrive from software engineering or analytics with a strong maths base, or from …
From Campus Binge's data, as of 2026-10-15. Each fact says how far to trust it.
About
Building models and pipelines: forecasting, recommendations, fraud, search, increasingly LLM applications. Most people arrive from software engineering or analytics with a strong maths base, or from a Master's programme. Day to day is mostly data cleaning, evaluation and shipping something that survives production, not research. Python, statistics and a real project you can talk through matter more than certificates. Bengaluru and Hyderabad have most of the roles.
On your map
- Ship one end-to-end project: data, model, evaluation, a page that explains it.
- Revisit probability and linear algebra until you can explain a model's failure modes.
- Read three recent papers or engineering blogs from teams doing the work you want.
Sources
- Campus Binge career graph: aggregates of public career profiles (cells with n ≥ 5); no person is namedCommunity viewAs of 2026-10-15
Block role/data-science-ml · sha256:0ec0b89b93f7… · JSON · Markdown