Hey, I'm Manas β I build systems that turn raw, messy data into something you can act on.
Recent work spans behavioral analytics (Sentinel β detects multi-week attack patterns and outputs auditable dry-run response plans) and market analysis (Market-Oracle β uncertainty-aware signal interpretation across timeframes). On the data side, I've shipped Streamlit dashboards like Retail-analytics-pro that ingest raw sales data, auto-normalize schemas, and surface forecasts.
I work mainly in Python for data/ML pipelines and TypeScript when a project needs a real frontend or backend-for-frontend layer β happy to go full-stack when the problem calls for it.
π± Active open-source contributor β merged PRs across community projects
π Currently exploring: applied ML for decision systems (forecasting, anomaly detection, signal interpretation)
π¬ Open to collaborating on data + AI tooling, especially anything analytics-adjacent
TypeScript ββββββββββββββββββββββββββββββββββββββββ 50%
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JavaScript ββββββββββββββββββββββββββββββββββββββββ 13%
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