Specialization Hub — Data Analytics
Data Analytics & Business Intelligence
Transforming complex data into actionable business intelligence through SQL, Python analytics, data modeling, and interactive BI — building analytical solutions that uncover patterns, measure performance, and support data-driven decision making.
My journey in Data Analytics & Business Intelligence has been shaped by building real-world solutions around customer intelligence, RFM segmentation, customer lifetime value, and business performance analytics. From transforming raw transactional data with Python and SQL to creating interactive Power BI dashboards and predictive analytical models, I’ve learned to turn complex data into clear, actionable insights that support better business decisions.
BCG X (Forage) Virtual Experience
Applied exploratory data analysis (EDA), statistical modeling, and data-driven customer recommendations for business strategy challenges.
British Airways VE Participant
Analyzed customer satisfaction and flight operational datasets using Python, Seaborn, and Predictive Modeling techniques.
Core Analytics Stack
Python (Pandas, NumPy), SQL (CTEs, Window Functions), Power BI (DAX Measures, Dynamic Slicers), Jupyter, Matplotlib, Seaborn.
Analytics Toolkit
Featured Projects
Cleaned and analyzed retail transaction datasets to evaluate subscription lift, promo code effectiveness, and age demographic purchase distributions in Power BI.
Engineered an RFM customer segmentation engine and predictive Customer Lifetime Value (CLV) churn model to drive targeted marketing retention campaigns.