Headline

Associate Data Analyst at SwissRe | Turning Data Into Business Insights via Analytics, Dashboards & Reporting | Visualization by day, AI systems by night | Self-taught, shipping end-to-end projects

About

I'm a Data Analyst with 4+ years of experience turning messy, heterogeneous data into clean pipelines, sharp dashboards, and actionable decisions — currently at Swiss Re Corporate Solutions in Bengaluru. At Swiss Re, I work on ingesting policy bordereaux and submission data into our loss-exposure database, powering underwriter dashboards across the reinsurance portfolio. My work sits at the intersection of data engineering and analytics — designing schema evolution logic, handling null propagation at scale, and ensuring the data quality that underwriters and actuaries rely on for pricing decisions. Before Swiss Re, at Accenture (3 years), I extracted data from database and maintained Power BI dashboards, automated Python-based ETL pipelines, and ran EDA across multi-source datasets to surface business insights for product and strategy teams. Outside of work, I'm building end-to-end AI systems on GitHub — currently shipping a Multi-Agent RAG chatbot with semantic guardrails, retrieval optimization, and LLM integration. I believe the next generation of analytics is agentic — and I'm learning to build it. 🎓 BSc Data Science — IIT Madras (Diploma milestone completed) | MTech AI/ML — BITS Pilani (in progress, 2025–2027) Currently open to: Senior Data Analyst · Data Scientist · ML/AI Engineer roles (hybrid/remote) Let's connect if you're building data-driven products that need someone who goes from raw pipeline to deployed insight.

Location

Bengaluru

AI stack

codex

cursor

opencode

Work experience

Associate Data Analyst at Swiss Re Corporate Solutions, Sep 2024 - Present · 2 yrs, Bengaluru, Analyse large-scale policy-level datasets (50+ bordereaux) to identify exposure trends across LCR, PFAS, ESG, Pharma, and emerging litigation risks. • Lead ingestion, reconciliation, and quality validation for 30+ datasets, enhancing data completeness and standardization by approximately 20%. • Collaborate with cross-functional teams on data extraction and transformation, ensuring metric consistency and analytical reliability across datasets. • Developed threshold-based anomaly detection logic triggering automated pipeline failures for deviations beyond defined variance bands, preventing inconsistent exposure data from entering production. • Implemented Visualization-based data validation checks ensuring year-over-year consistency in key financial fields including Premium, Limit and Attachment Point.

Application Development Analyst at Accenture, Feb 2023 - Sep 2024 · 1 yr 8 mos, Kolkata, West Bengal, India, Enhanced data accessibility and accuracy by 20% through the extraction and transformation of data from various databases using SQL. Developed interactive dashboards and reports using Power BI/Tableau that boosted user engagement by 15% and reduced decision-making time Implemented Python scripts for data preprocessing and analysis that improved workflow efficiency resulting in a 30% reduction in data processing time. Conducted thorough exploratory data analysis (EDA) and data cleaning processes to identify key trends, detect anomalies, and improve data quality. Generated actionable insights that informed strategic decision-making, facilitated targeted marketing strategies, and drove business growth.

Application Development Associate at Accenture, Sep 2021 - Jan 2023 · 1 yr 5 mos, Kolkata

Education

BSc degree in Data Science, Data science, Indian Institute of Technology, Madras

Master of Technology - MTech, Artificial Intelligence & Machine Learning, BITS Pilani Work Integrated Learning Programmes