I work at the intersection of data engineering and analytics, building systems that are not just robust, but ready for insight. I’ve learned firsthand how critical clean, structured, and accessible data is to powering everything from dashboards to machine learning workflows. With tools like Python, PySpark, SQL, Azure, and Power BI in my toolkit, I focus on making data ready to tell the right story when it matters most.
With over two years of hands-on experience in Python, SQL, PySpark, and the Azure ecosystem, I've built and maintained systems that power real business decisions. My professional journey has included designing ETL pipelines, automating data workflows, and preparing high-quality data for both business intelligence reporting and machine learning models. I enjoy working closely with cross-functional teams where I can help bridge communication between engineering, product, and leadership. I’m often the one explaining technical processes in a way that makes sense to non-technical stakeholders while also collaborating deeply with engineers. I take pride in being a clear communicator, a thoughtful builder, and someone who makes data genuinely useful through well-engineered solutions that scale with confidence.
These projects highlight my ability to create impactful dashboards, explore business KPIs, and transform raw data into strategic insights for stakeholders.
A Power BI dashboard analyzing global happiness trends with socioeconomic data.
Tech Stack
GitHub RepoDesigned a SQL-driven library management system with analytics dashboard integration.
Tech Stack
GitHub RepoHere you'll find scalable pipeline work, SQL-based systems, and cloud-integrated solutions developed for efficiency, automation, and production-level reliability.
Built a robust SQL database system for managing patient and reporting data pipelines.
Tech Stack
GitHub RepoDeveloped scalable Azure pipelines for ingesting and transforming enterprise data at scale.
Tech Stack
GitHub RepoThis section showcases applied AI/ML projects built using Python, ML libraries, and LLMs—each solving real-world prediction or decision problems.
Built an LLM-powered chatbot delivering real-time stock insights using financial APIs.
Tech Stack
GitHub RepoMachine learning model to classify bike rental demand using weather and time data.
Tech Stack
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