Sarvesh Kumar Mukhija

WORK HISTORY

EDUCATION

ABOUT SARVESH KUMAR MUKHIJA

6+ years of experience in Data Science, Machine Learning & Indexing within fintech and capital markets. • Blend of traditional data science (Python, ML, SQL) and modern AI engineering (OpenAI, Groq, LLM pipelines). • Built automated company-classification systems using LLMs, embeddings, multi-step search agents, and evidence extraction. • Designed full index-construction pipelines:z-scoring, PCA/VIF validation, weights, capping, and rebalance logic. • Created AI search workflows that map tech companies using automated Serper-style agents. • Deep experience with FactSet & Capital IQ, and SQL-based financial data modeling. • Build reproducible ETL pipelines, financial ratio engines, and automated validation checks for index accuracy. • Delivered high-impact projects at Fidelity International and led index initiatives at Mirae Asset. • Skilled in converting business requirements into end-to-end AI/ML workflows with measurable automation improvements.Programming & Libraries:Python, pandas, NumPy, scikit-learn, matplotlib, Jupyter.AI / LLM Ecosystem:OpenAI (GPT-4/5 series), Groq (Llama / DeepSeek), embedding models, RAG, LLM-based search & classification, prompt engineering, evidence extraction agents.Financial & Indexing Tools:FactSet, Capital IQ, index construction, rebalancing rules, corporate actions.Databases & Querying:SQL, SQL Server, complex joins, analytical functions, performance tuning, API-driven data ingestionAutomation & Engineering:Python pipelines, automated screeners, company-theme classifiers, web search agents (Serper/Bing-style), data validationSoftware & Productivity:Excel, PowerPoint, Git, JIRA, Kanban, ZephyrPostman (API Testing), JMeter (Performance Testing)Languages: English, Hindi, German, Spanish