Data Analyst → Data Scientist | SQL · Power BI · Python · ML (learning)
I build end-to-end data solutions — from messy raw data to executive dashboards and revenue diagnostics. Currently transitioning from BI analytics into machine learning and AI.
Analytics & BI
SQL Power BI DAX Advanced Excel Power Query Tableau
Data Engineering
ETL Pipelines Star Schema Data Modeling Data Validation
Python
Pandas NumPy LLM APIs Prompt Engineering
Currently learning
scikit-learn Machine Learning fast.ai Deep Learning
End-to-end ETL pipeline analyzing a $13.44M sales funnel across 1,184 leads. Built in Excel + Power Query with executive dashboard, conversion analysis, and regional market penetration.
Excel Power Query ETL BI Dashboard
Advanced SQL framework diagnosing a 43% revenue decline — isolated inventory stock-outs, detected 15% margin leakage from promo stacking, and justified a 20% budget reallocation to DTC.
SQL CTEs Window Functions Unit Economics CM3
Python tool comparing prompt engineering strategies (direct, bullet, role-based, optimized) for meeting transcript summarization. Measures compression ratios across strategies.
Python LLMs Prompt Engineering OpenAI API
- 🌱 Learning ML: fast.ai → scikit-learn → deep learning
- 🎯 Open to Data Analyst and Data Scientist roles
- 📍 Chandigarh, India · Open to relocation & remote
