Indraneel Biswas

I’m a results-oriented Business & Data Analyst focused on transforming complex datasets into actionable business intelligence. I leverage SQL and Python for robust data querying, and I use Power BI to visualize trends and anomalies with a methodical, decision-ready workflow.

In my recent experience as a Front-End Development Trainee, I contributed to the design and implementation of interactive web elements using HTML/CSS/JS. I also gained practical exposure to the Software Development LifeCycle (SDLC), supporting production, maintenance, and web deployment workflows.

One standout project is Financial Transaction Monitoring & Anomaly Detection, where I built a rule-based monitoring system using a synthetic dataset to identify and document fraudulent financial patterns and compliance anomalies. I engineered SQL queries for anomaly detection, performed deep-dives to distinguish legitimate vs suspicious activity, and created risk categorization and compliance reporting structures to support potential escalation.