Building the open-source analytics ecosystem for the mining industry
23+ years across mining operations, cement, and enterprise AI - from mine faces in India, Indonesia, and the Middle East to leading enterprise analytics functions. DBA | B.Tech (IIT-ISM Dhanbad) | Creator of MiningAnalytics, MiningCostBench, haulplan & MineProductivity.
I spent two decades running mining operations and enterprise analytics functions (Adani Natural Resources, EXL, Genpact, Cyient). Now I'm codifying that operational knowledge into open-source tools, standards, and books - so mining professionals everywhere can measure, benchmark, and improve their operations with production-grade analytics.
"The mining industry deserves its own scikit-learn."
| Project | What it does | Stack |
|---|---|---|
| MiningAnalytics | Foundational mining analytics package - an ontology of 330+ standardized KPIs covering the full mining value chain, enabling scalable analytics and cross-site benchmarking | R |
| MiningCostBench | Cost-driver benchmarking across 53 commodities · 6 categories, with 6-stage cost decomposition. Archived on Zenodo - DOI: 10.5281/zenodo.20722764 | R |
| MineProductivity | Ontology-first productivity framework - "scikit-learn for mining productivity" - with a 100-KPI standard library, benchmark datasets, and a 100-notebook learning curriculum | Python |
| MineSDG | MineSDG is a research-grade R framework designed to bridge the gap between raw operational data and the United Nations Sustainable Development Goals (SDGs) and Mining Sustainability | R Shiny |
| haulplan | Truck–shovel fleet deployment engine with a finite-source queue/bunching model and interactive Shiny dashboard for haulage planning | R Shiny |
In the pipeline: MineSDG · sdgverse · IndianMiningGPT · MineRating
| Title | Focus |
|---|---|
| Data Science in Heavy Industry - From Raw Data to Operational Intelligence | 8-chapter practitioner book with an interactive companion platform; real-world case studies from Rio Tinto, BHP, Shell, POSCO |
| ESG Management and Reporting in India - BRSR, Sustainability, and Corporate Strategy | MBA textbook with 62 original figures and full appendices |
| Architecting AI Agents - A Practitioner's Guide from Purpose to Production | 11-chapter guide with hands-on Agent Labs (Colab) - in progress |
- An application of time series ARIMA forecasting model for predicting sugarcane production in India - Studies in Business and Economics · 184+ citations
- Forecasting tourist in-flow in Southeast Asia: A case of Singapore - Tourism & Management Studies · Scopus Q1
- A literature review into leadership styles discussed in mining industry - International Journal of Mining and Mineral Engineering · Scopus
- Large language models in higher education - The Journal of Integrated Research Frontiers (2026)
→ Full list on Google Scholar · Reviewer for international ML/AI journals (30+ manuscripts)
Languages: R · Python · SQL · PySpark
ML/AI: scikit-learn · TensorFlow · PyTorch · Time-series forecasting · Predictive maintenance · LLM applications
Publishing & Apps: Quarto · Shiny · pkgdown · Power BI · Next.js
Engineering: Git/GitHub Actions CI · testthat · Docker · GCP
Domain standards I work with: GMG Time Usage Model · ICMM frameworks · IEC 61724/63019/61400 · BRSR/GRI
Collaboration on mining analytics, industrial AI, and open-source R/Python tooling · Advisory & consulting on analytics strategy for mining, metals & heavy industry · Speaking & teaching on data science in operations
Operator first. Data scientist second. Builder always.