Business Analyst · Data Analyst

I turn operational chaos into digital clarity.

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.

✉ nandypritid@gmail.com 📍 Exeter, UK 📞 +44 7587 967045
✅ Full UK Work Rights — Graduate Visa until Jan 2028
Pritid Nandy — Business Data Analyst
18%
Operational waste reduction delivered
12%
Customer engagement boost via UX redesign
9%
Cost savings through supplier renegotiation
£382M+
Revenue impact quantified analytically

Academic Foundations

Rigorous academic grounding in analytics, financial markets, and commercial strategy — applied directly to real business problems.

Master of Science

Business Analytics

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.

📄 View Degree ✦ Distinction

Professional Certificate

Financial Markets & Analysis

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.

📄 View Certificate

Master of Commerce

MCom — Advanced Commerce & Finance

University of Calcutta · Sep 2018 – Sep 2020

Advanced studies in commerce, business administration, and financial management. Focus on strategic business operations and organisational theory.

Tools That Deliver Impact

Skills applied in real commercial contexts — not just listed for completeness.

Analysis & Strategy

BA Core

Requirements Elicitation Stakeholder Management BPMN Process Mapping Gap Analysis Root Cause Analysis UAT Agile / Scrum

Operations

ERP Integration Supply Chain Analytics Data Migration ETL Pipelines Change Management

Data Intelligence

Languages & Libraries

Python (Pandas, Scikit-learn) SQL (Server, SQLite) SARIMAX XGBoost Predictive Modelling Time-Series Forecasting Statistical Analysis

Visualisation

Power BI Dash / Plotly Advanced Excel VBA / Macros Executive Dashboards

AI & Emerging Tools

Foundational LLMs

Anthropic Claude OpenAI GPT (API) Google Gemini DeepSeek Grok Qwen

Research & Copilots

NotebookLM Perplexity Notion AI Antigravity Midjourney GitHub Copilot

Where Data Met Decisions

Every role had a real problem. Here is what I found, what I built, and what changed.

Nando's
Kitchen Team Member
Jun 2025 – Present · Exeter, UK
Inventory Operations
  • Apply inventory analysis and stock pattern recognition in a high-throughput kitchen environment — grounding academic supply chain knowledge in fast-paced operational reality alongside my MSc.
Balaram Mullick & Radharaman Mullick
Business Operations Executive
Apr 2021 – Mar 2024 · Kolkata, India
SDLC ERP AWS Python · SQL React

The Chaos

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.

The Transformation

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%.

  • The inventory problem was physical chaos. Embedded with production staff, mapped the full data flow from purchase order through factory transfer to final sale, ensuring full auditability in the ERP.
  • Reporting consumed time meant for decisions. Custom analytics platform automated recurring reporting — surfacing waste patterns hidden by manual processes.
  • Production and sales operated in isolation. Scoped and delivered the ERP–POS integration across 15+ sites — eliminating manual reconciliation and driving gross profit uplift.
  • Billing queues were costing sales. Redesigned customer journey with a QR card ordering flow. Engagement rose 12% as browsing time increased.
  • Directed legacy database cleanup and migration, and managed live deployment on AWS, establishing a post-deployment support framework.
Girish Chandra Dey & Nakur Chandra Nandy
Business Account Executive
Apr 2019 – Mar 2021 · Kolkata, India
Forecasting Procurement Payroll Systems

The Chaos

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.

The Transformation

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.

  • Supplier invoices were not matching rates. Cross-referenced purchase invoices against agreed contract terms, restoring contract discipline and defending margins.
  • Procurement was reactive. Structured vendor benchmarking compared live market rates before each purchase cycle.
  • Payroll was manual and error-prone. Digitised the system with a rules-based engine that automatically calculated leave allowances and festival-duty bonuses across seasonal peaks.
  • Built daily demand forecasts synthesising weather patterns, historical YoY growth, and trends — optimising fresh production inventory.

Open to New Opportunities

Actively seeking Business Analyst and Data Analyst roles. Reach out for opportunities, collaborations, or a conversation about data.

Based in Exeter · Open to UK & Global roles

✉ nandypritid@gmail.com

📞 +44 7587 967045

🔗 linkedin.com/in/pritid-nandy

💻 github.com/pritid-nandy