Headline

Data Analyst | Data Scientist | Python · SQL · ML | ZS Associates | Ex-DRDO

About

I build data systems that drive decisions — not just dashboards. At ZS Associates, I own end-to-end analytics pipelines for a global pharma client: automated incentive compensation workflows that cut turnaround by 95%, Python-SQL pipelines processing 100K+ records/month, and Power BI dashboards that contributed to a 10% market share gain. At DRDO's CAIR, I built a fully offline LLM-based Q&A system using LLaMA 3, RAG, and Haystack — moving from prototype to deployed system in 6 months. What I bring to BFSI: → Analytics pipelines at scale (the same logic that powers IC compensation models applies directly to credit scoring, risk modeling, and rewards optimization) → ML in production — not just notebooks → Business storytelling — I translate model outputs into boardroom-ready recommendations I'm actively targeting Data Analyst and Data Scientist roles at companies like American Express, Barclays, Blackrock, and Mastercard — where analytical rigor meets real financial impact. Core stack: Python · SQL · PyTorch · LangChain · Power BI · Tableau Open to referrals and conversations. DM me or reach out at gursehajbir2027@gmail.com

Location

Sahibzada Ajit Singh Nagar

Work experience

Decision Analytics Associate at ZS, Jan 2025 - Present · 1 yr 6 mos, Gurugram, Haryana, India, • Spearheaded IC plan optimization for an entire client business unit, uncovering high-yield payout bracket structures that drove a 60% improvement in plan effectiveness — boosting client profitability and ensuring reps were rewarded for high-impact performance. • Built Python–SQL pipelines to extract, aggregate, and analyze large-scale IC data (100K+ records/month), slashing analytical turnaround from days to hours and driving a 90% improvement in output accuracy. • Automated the end-to-end IC design workflow under an internal AI initiative, replacing a multi-day manual Excel process with a real-time paycurve simulation engine — cutting turnaround time by 95%+. • Designed interactive Power BI dashboards tracking key sales KPIs including volume, market share, and goal attainment — contributing to a ~10% market share gain and 15% budget optimization. • Translated complex data analyses into structured recommendations for senior stakeholders, enabling data-driven decision-making on compensation strategy and sales performance. • Recognized with the Client Impact Champion Award for driving high-impact automation initiatives that strengthened operational reliability and system performance.​​​​​​​​​​​​​​​​

Software Developer at Shorthills AI, Sep 2024 - Dec 2024 · 4 mos, Gurugram, Haryana, India

Project Trainee at Centre for Artificial Intelligence & Robotics, DRDO, Jan 2024 - Jun 2024 · 6 mos, Bengaluru, Karnataka, India, Architected a fully offline, secure document Q&A system using LLaMA 3, Haystack, and RAG (Retrieval-Augmented Generation) — enabling internet-free, high-accuracy document querying across 10+ file formats for sensitive defense environments. Integrated vector-based semantic search and embedding pipelines to improve answer relevance by 40%, significantly enhancing system reliability and response quality for operationally critical use cases. Co-authored a research paper - ”Leveraging Large Language Models for Offline Question-Answer Generation”, serving as primary prototype developer and system architect; manuscript in preparation.

Information Technology Trainee at Teleperformance, Mar 2023 - May 2023 · 3 mos, Mohali district, India

Education

Bachelor of Technology, Computer Engineering, Thapar Institute of Engineering & Technology

Senior Secondary, Science, KB DAV Senior Secondary Public School