Business Analyst · Data Analyst
MSc Business Analytics (Distinction) · 5+ years bridging the gap between chaotic physical processes and high-performance data systems. I don't just analyse data — I build the systems that generate it.
✅ Full UK Work Rights — Graduate Visa until Jan 2028
II — Education & Certifications
Rigorous academic grounding in analytics, financial markets, and commercial strategy — applied directly to real business problems.
Master of Science
University of Exeter · Sep 2024 – Sep 2025
Core Modules: Database Technologies, Programming for Prompt Engineering, Statistics, Supply Chain Analytics.
Dissertation: Strategic UK Spirits Export Forecasting — quantified £382M+ revenue impact through SARIMAX & XGBoost modelling.
Professional Certificate
Exeter Student Investment Fund · Completed Jan 2025
11-week intensive covering financial market analysis, investment strategies, and portfolio management. Applied quantitative methods to real-world fund scenarios.
Master of Commerce
University of Calcutta · Sep 2018 – Sep 2020
Advanced studies in commerce, business administration, and financial management. Focus on strategic business operations and organisational theory.
III — Technical & Functional Skills
Skills applied in real commercial contexts — not just listed for completeness.
IV — Professional Experience
Every role had a real problem. Here is what I found, what I built, and what changed.
Inventory and raw material godowns were managed via physical paper ledgers across 15+ retail sites. No audit trail, no real-time stock visibility, and massive margin leakage from "invisible" waste. Production and sales had no data link — what was made versus what was sold was anyone's guess.
Architected a cloud-based ERP (AWS, React, Python, SQL) from scratch. Automated reporting saved 10+ hours/month. Linking production ERP to POS drove a 5% gross profit uplift. A QR card ordering system replaced handwritten tickets, boosting customer engagement by 12%. Waste fell 18%.
Manual payroll errors were frequent. Supplier invoices rarely matched negotiated rates, causing silent contractual drift and lost margin. Procurement decisions were reactive — made on instinct, not data — with no benchmarking against live market rates.
A market-rate benchmarking system held vendors accountable — delivering a 9% reduction in raw material costs plus a further 2% in recurring savings through tightened controls. A rules-based payroll engine eliminated bonus errors entirely.
V — Let's Work Together
Actively seeking Business Analyst and Data Analyst roles. Reach out for opportunities, collaborations, or a conversation about data.
✉ nandypritid@gmail.com
📞 +44 7587 967045