Yash Abhyankar

I'm a Data Analyst and ML practitioner with 2 years of experience working at the intersection of analytics, data engineering, and product decision-making.

My work spans the full data lifecycle — from building Python ETL pipelines and PostgreSQL schemas, to deploying machine learning models, to delivering executive-facing Power BI dashboards that drive real business decisions. At Solar Industries, I built a customer churn prediction model (89.3% accuracy) using Random Forest and Gradient Boosting on 12 years of sales data, alongside an anomaly detection module using Isolation Forest and ARIMA that flagged risk in the top 10% of transactions. I also developed a full-stack Python + Streamlit supply chain application that cut manual effort by 30%.

At CS TECH Ai, I own end-to-end BI reporting — building 6 Power BI dashboards tracking 14 KPIs, automating 10–12 vendor API integrations that reduced manual data entry by 40%, and engineering ETL pipelines that normalised 50+ workbooks into clean, dashboard-ready PostgreSQL data.

I hold an MS in Data Science from the University at Buffalo and a B.Tech in Electronics from VJTI Mumbai. My interests sit at the crossroads of product analytics, business intelligence, and applied ML — I'm drawn to roles where data directly shapes product strategy, user understanding, or business growth. Open to Data Analyst, Product Analyst, Business Intelligence, and Data Science roles.