Tapasvi Mishra

• Structured Data Querying: Queried and modeled structured datasets within SAP BW/FICO to build KPI monitoring dashboards for a global controlling team, providing visibility over a e100M+ order book. • Proactive Analysis: Self-directed variance and deviation analyses to identify bottlenecks in the sales forecasting workflow, improving overall forecast accuracy by +7%. • Data-to-Decisions: Delivered structured, easy-to-understand process improvement recommendations and decision-support summaries to non-techn

• Data Processing: Processed and analyzed 10,000+ unstructured financial documents using a Python pipeline (95% accuracy) to support quantitative research, demonstrating strong foundational scripting and data extraction skills.

Documented AI-driven financial workflows and supported structured knowledge transfer within research teams. Developed a Q&A RAG system using LlamaIndex, integrating conversational frameworks and semantic search to achieve 95% query accuracy on 10K+ documents. Built financial data models using Python on 10-K reports to assess company performance and derive insights applicable to valuation.

As a Data Analyst, spearheaded the optimization of the data pipeline through rigorous ETL procedures. Leveraged advanced Business Intelligence (BI) dashboards to dissect user-entered data, facilitating the development team's provision of trust scores. Within a mere 3-month timeframe, orchestrated a remarkable 17% enhancement in the trust score algorithm's efficacy.

Conducted comprehensive research analysis as a Trainee, identifying organizational needs and providing actionable insights to drive growth and efficiency improvements which resulted into launching the beta phase 15% earlier comparing to what was actually planned in the sprint