Built end-to-end analytics systems on 96K+ records — from SQL pipelines to ML models — focused on solving real business problems like churn and retention.
I'm a second-year BCA student at Somaiya Vidyavihar University, Mumbai. I build end-to-end analytics systems on real-world datasets — from writing complex SQL queries to deploying machine learning models as live apps.
My work spans customer segmentation, churn prediction, BI dashboards, and instructor effectiveness modelling. I'm always focused on the business outcome, not just the model metric.
Previously interned at Riidl Incubation Centre evaluating 10+ early-stage startups and producing data-backed KPI reports.
Every analysis ends with a recommendation. Identified 68% customers as one-time buyers, highlighting retention as the primary revenue growth opportunity
Raw SQL → cleaned data → ML model → deployed app. Non-technical stakeholders can query data in plain English.
Evaluated EdTech, FinTech & SaaS startups for investment viability at Riidl Incubation Centre.
CGPA 9.63 / 10.0 — Somaiya Vidyavihar University, 2024–2027.
End-to-end ML pipeline for delay prediction and optimal route planning across Mumbai's 139-station suburban rail network — built entirely from scratch, no public dataset.
End-to-end BI pipeline on 96K+ customer records — RFM segmentation, Power BI dashboards, and an AI natural language query engine.
Composite scoring model that tiers instructors into Low / Medium / High performance using 9 features across 3 weighted pillars.
I'm open to data analyst internship opportunities and interesting projects. If you want to talk data, analytics, or just connect — reach out.