Jay Vaja

I’m a Data Analyst pursuing a PwC-UpGrad Professional Certificate in AI & Data Science, and I enjoy turning messy data into decisions. I work across Python and SQL, combining analytics with machine learning and NLP to deliver practical outcomes.

In my current role as an Associate Software Engineer, I built a SaaS Industrial Calculation module for the Hardware Engineering department using C#, .NET, and React. I also contributed to an Equity Management project with frontend modules using React and TypeScript, and I manage delivery through JIRA in Agile sprints.

On the analytics side, I built an NLP-driven retail analytics chatbot that converts natural-language prompts into SQL using an LLM-powered NL-to-SQL engine (Flask + SQLite). I also created an end-to-end fraud detection pipeline using an Isolation Forest ensemble with Z-score anomaly detection, and I visualize results in an interactive Plotly Dash monitoring dashboard.

I back this with strong EDA and dashboard development—like a 300,000+ record credit risk analysis using Pandas/Matplotlib/Seaborn, and sales dashboards in Excel (with Power Query/Power Pivot/DAX) and Power BI (with slicers and DAX measures). I bring clear communication, problem-solving, and collaboration to every project.