I am a Data Science graduate with hands-on experience in data engineering, analytics, and enterprise data processing. My core strengths include Python, SQL, ETL development, data warehousing, and data modeling.
I have built scalable data solutions including a MySQL star-schema warehouse and a stream-based Python ETL pipeline for more than 550,000 transactions. I am comfortable designing pipelines, processing transactional and master data, and developing OLAP queries for downstream analytics.
During my internship at Systems Limited, I processed structured and unstructured data with Hadoop and PostgreSQL, optimized SQL queries and workflows, and developed Power BI dashboards for reporting. I also supported SAP data migration and IT infrastructure operations at Honda Atlas Cars.
My project work includes retrieval-augmented generation applications, AI chatbots, vector databases, web-content ingestion pipelines, and multi-service applications built with Flask and React. I have worked with technologies including ChromaDB, LangChain, FAISS, PyTorch, and REST APIs.
I am motivated to apply my technical foundation in data engineering, data pipelines, and analytics to build reliable, high-impact data products. I communicate effectively in English and Urdu and bring a practical, problem-solving approach to data-intensive work.
Processed structured and unstructured datasets using Hadoop and SQL with PostgreSQL, improving data processing efficiency by 25%.
Optimized SQL queries and data workflows to reduce dashboard load time by 30%. Built Power BI dashboards for real-time reporting and prepared and analyzed the underlying data.
Supported SAP FI/SD implementations and enterprise data migration activities.
Configured and troubleshot enterprise network infrastructure, resolving approximately 95% of assigned incidents. Documented workflows and system-access procedures for enterprise users.
Bachelor of Science, Data Science
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