I am a results-oriented Data Analyst with 2+ years of experience in delivering advanced analytics solutions and business value. I specialize in building end-to-end analytics workflows, KPI dashboards, and performance-optimized data pipelines.
- 🔭 I’m currently working on: Advanced predictive modeling and end-to-end data engineering projects.
- 💼 Experience: Operational Analyst at Samatrix.io (Jun 2023 – Jan 2026).
- 📈 Key Achievement: Analyzed customer journey data to identify drop-offs, improving conversion rates by 12%.
- 🎓 Education: Master of Computer Applications (MCA) from JECRC University (2023).
| Category | Technologies |
|---|---|
| Languages |    |
| Data Engineering & Analytics |     |
| Data Science |     |
| Deep Learning |    |
| Visualization & BI |    |
| Tools & Platforms |     |
| Project | Description | Tech Stack |
|---|---|---|
| Global Development Trends | Analyzed global trends using GNP, population density, and development tiers. Designed scalable aggregation using MySQL CTEs & Window Functions. | SQL Pandas Seaborn |
| End-to-End Analytics Workflow | Architected a scalable loading process using SQLAlchemy to migrate processed datasets into a centralized MySQL database. | Python SQLAlchemy ETL |
| Weather Forecasting (ARIMA) | Performed time-series forecasting and seasonal trend analysis to predict weather parameters using statistical modeling. | ARIMA Time-Series Python |
| From Spark to Inferno: COVID-19 Analysis | Traced the pandemic from initial sparks to global hotspots. Uncovered regional disparities and survival trends using time-series analysis. | Pandas PySpark Seaborn |
| Databricks Lakehouse – Gold Layer Analytics | Designed and documented an end-to-end Lakehouse architecture using the Medallion pattern (Bronze → Silver → Gold). Built business-ready dimension and fact tables with clear data lineage, star schema modeling, and Databricks-style documentation for BI and analytics consumption. | Databricks PySpark SQL Delta Lake Data Modeling |
"Data is the new oil." — Clive Humby
