Arijit Paul has spent the last fourteen years in the space where supply chains, sales operations and data collide — the kind of work that rarely gets noticed until it goes wrong. He has processed the orders, built the pricing quotes, reconciled the accruals, and then, increasingly, built the systems that made those tasks unnecessary in the first place.
His career has moved through IBM, Timken India, Accenture (where he led Order-to-Cash operations for a Halliburton account), and now Shantinath Detergents, where as Business Analytics Manager he has taken on a role few analysts get: actually building the factories his forecasts are for. He has led the end-to-end launch of plants in Alwar and Varanasi, and is currently driving the company's Greenfield Indore facility from the ground up.
"The forecast is only useful if someone builds the plant to match it."
Along the way, Arijit taught himself the tools that make that possible at scale — SQL and R for the analysis, Power BI and Tableau for the dashboards leadership actually reads, and Google Apps Script for the auto-refreshing spreadsheets that quietly replaced hours of manual reporting. That same instinct — find the repetitive, error-prone part of a system and automate it — is what led him to AI tools early, and eventually to writing AI-Powered Personal Finance: a practical guide to using the same category of tools for household money instead of factory output.
Accenture, Q2 & Q3 FY22 — for bringing the firm's core values to life in day-to-day delivery.
Accenture, Q4 FY22 — for creating measurable client value through business outcomes.
Halliburton Finance GBS — exemplary service delivery, awarded two years running.
For exceeding customer service metrics and sales targets, January–February 2018.
Timken India, 2017 — for exceeding forecast targets in June & August.
Appreciation certificates across Timken, Accenture & Halliburton for service and delivery excellence.
Institute of Science & Technology (IST), WBUT — 2010
Chittaranjan High School (English Medium), WBCHSE — 2006
Most of Arijit's work happens inside one company at a time — but the underlying problems (a factory launch with no MIS visibility, a sales team without a working forecast, a reporting process still done by hand) show up everywhere. He takes on a limited number of outside engagements in the areas below.
End-to-end greenfield plant setup, vendor development and logistics cost optimization.
Power BI, Tableau and auto-refreshing Google Sheets systems that put live KPIs in front of leadership.
Process audits, SOP design and SFDC/SAP workflow improvements that cut TAT and invoice rejections.
Time-series and regression-based forecasting models tied to real production and sales decisions.
Replacing manual reporting with AI-assisted, self-updating workflows — Apps Script, ChatGPT and Claude included.
Practical, no-fluff guides — the same instinct that builds factory dashboards, turned toward things a reader can actually use.
Smart money habits for the AI era — simple tools to budget, save, invest and build wealth with confidence. Written fresh in English, Bengali, Hindi and Urdu — not translated.
From Non-Alignment to Strategic Autonomy, 1948–2026 — an analytical history of how India became one of the five most consequential nations on earth. Available in English, Bengali, Hindi and Urdu.
Nothing shipped yet — this tab is here because it's next, not because it's ready.
Arijit's Google Sheets and Apps Script automation work is the early prototype for this. First Android app to follow.
Get notifiedWhen something's underway, it'll show up here first.
This tab is reserved for live, working tools. Nothing fake to fill the space.
The MIS dashboards Arijit builds today live inside his employer's systems. Public, standalone tools are next.
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23 free videos on the Pure Analytics channel — Excel Solver for real supply chain problems, a full Python course for people who work with data, and practical AI tool walkthroughs.
Video walkthroughs of the ideas in AI-Powered Personal Finance are planned for this tab.
Get notifiedAll videos are free to watch on YouTube. Titles are shown in English because that is how they appear on the channel.
A full teaching series on solving real supply chain problems — production planning, transportation networks, facility location — using Excel Solver.
A structured Python course from first principles — variables, strings and data structures — taught for people who work with data rather than for computer scientists.
Short, practical walkthroughs of what current AI tools can actually do — sentiment analysis on real reviews, and image generation put to work.
Tool walkthroughs (Excel, Power BI, Apps Script, AI tools) — planned for this tab.
No courses live yet — the structure is ready for when the first one is.
A self-paced course on MIS dashboards and AI-assisted reporting is the leading candidate for the first one.
Get notifiedNothing on the calendar right now. Check back soon.
A detailed written palm reading, prepared with AI assistance using classical palmistry method — and honest about exactly what it is.
Send two photographs of your palms with your birth details. You get back a written reading of around 2,000 words — hand type, the four major lines, the mounts, your fingers, thumb and markings — plus a direct answer to the one question you most want to ask.
Elemental hand type, the Heart, Head, Life and Fate lines, the seven mounts, fingers and thumb, and any notable markings.
Your passive hand shows what you were born with, your active hand what you have made of it. The gap between them says the most.
Your date, time and place of birth are used as a second layer against what the hands appear to show.
One specific question of your choosing, answered directly rather than in vague generalities.