Building Intelligent Systems That Solve Real-World Problems
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I'm a Computer Applications student at Maharaja Suhel Dev State University, Azamgarh, with a focus on data engineering and applied machine learning. My work centers on building production-style data systems — most notably an enterprise ETL pipeline on Databricks that processes 100,000+ transactional records through a Medallion Architecture (Bronze, Silver, Gold), using PySpark, Delta Lake, and AWS S3 to simulate real-world data integration challenges like deduplication, schema drift, and incremental ingestion.
Beyond data engineering, I work across the full analytics stack — from relational database design and advanced SQL (window functions, CTEs, stored procedures) to machine learning pipelines in scikit-learn, where I compare regression models and apply explainability techniques like SHAP to make results interpretable, not just accurate.
I approach problems by building end-to-end: not just training a model or writing a query, but understanding how data moves from raw ingestion to a stakeholder-ready dashboard. I'm currently deepening my skills in tools like dbt, Microsoft Fabric, and cloud-native orchestration.
Bachelor of Computer Applications in BCA – Maharaja Suhel Dev State University (MSDU) (2024-07 – 2027-06)
