Data Analyst / Analytics Engineer | Advanced SQL & Python | End-to-End Data Pipelines & Data Modeling | Statistical Forecasting & Hypothesis Testing | Power BI (DAX) & Tableau
I build end-to-end analytical systems โ not just dashboards.
My work focuses on designing scalable data workflows that move from:
Raw Data โ Structured Models โ Business Metrics โ Predictive Insight โ Executive Reporting
I prioritize:
- Clarity over complexity
- Performance over shortcuts
- Architecture over isolated scripts
SQL Data Pipelines โข Behavioral Risk Modeling โข Power BI Executive Dashboard
An end-to-end analytics project designed to investigate the relationship between gaming behavior and mental health indicators using large-scale behavioral data.
The system builds a structured analytics pipeline that transforms raw player activity into behavioral risk insights and executive reporting dashboards.
Python โข Excel Power Pivot โข DAX โข KPI Design
End-to-end analytics lifecycle:
- Synthetic data generation
- Dimensional modeling
- Executive KPI dashboards
- Business insight extraction
Power BI โข Star Schema Modeling โข DAX โข Business Intelligence
A real-world Amazon business case study analyzing the performance of the US marketplace between 2014โ2017 to evaluate growth trends and identify strategic drivers of revenue.
The project simulates an analytics scenario where the Global Product Strategy & Analytics team must determine whether marketplace growth is slowing and which segments drive performance before leadership allocates marketing budget for the upcoming year.
LeetCode โข DSA โข Competitive Programming โข Interview Preparation
A dedicated repository containing structured LeetCode solutions focused on:
- Data Structures & Algorithms
- Problem-solving patterns
- Interview preparation
- Optimized approaches with clean implementation
- Consistent coding practice across difficulty levels
Interview Prep โข Data Science โข Statistics
- Advanced SQL performance tuning
- Analytics Engineering systems
- Business-driven dashboards
- End-to-end ML pipelines
โPower isnโt in writing more code โ itโs in writing the code that survives.โ


