Vishnu Jatav

Decision Science and Operations Research professional with 6+ years architecting and deploying large-scale Optimization and Data Science systems — LP, MILP, and heuristic/metaheuristic — across manufacturing, logistics, and capital-planning problems. A hands-on builder and trusted advisor to plant, finance, and executive stakeholders, translating ambiguous business constraints into production-grade decision-support platforms that move real KPIs — throughput, cost, delivery, and cycle time.

Senior Data Scientist – Operations Research at Optiflux Technologies Pvt Ltd (2025-06 – Present)

Steel Manufacturing Production Planning & Scheduling Optimization System

• Personally architect and build an end-to-end, enterprise-scale production planning & scheduling optimization platform for a steel plant handling ~37K tonnes/month, owning the Decision Science solution from problem framing through production rollout.
• Set the technical strategy for a hierarchical optimization framework spanning strategic monthly raw-material planning and near-real-time production scheduling, aligning multi-objective decision logic to plant utilization, delivery adherence, inventory balancing, and sequence-dependent changeovers.
• Partner directly with raw material, production, and marketing leadership to translate business priorities into a real-time decision-intelligence dashboard, driving adoption across operational and management stakeholders.
• Delivered 6.4% throughput improvement, 25% reduction in changeover losses, on-time delivery up 78%→94%, and operating days up from 24 to 30/month — measurable, board-level impact from a single OR intervention.

Visiting Faculty at Azim Premji University (2026-01 – 2026-05)

• Taught Operations Research course, translating technical optimization methods into applied, case-driven classroom material.

Senior Data Scientist – Operations Research at DecisionOpt Consulting Pvt Ltd (2024-03 – 2025-06)

Dispatch Optimization

• Led formulation of a MILP model for a client dispatch optimization problem (CVRPTW with vehicle compatibility), owning the solution from mathematical design through client-facing delivery.
• Directed implementation in Python and Gurobi, applying warm-start strategies, parameter tuning, and problem-specific intelligence to cut solver runtime by 1.5x, a key lever in making the model viable at production scale.
• Spearheaded design of a metaheuristic-based solution for large-scale dispatch planning beyond exact-solver reach, setting technical direction for the engagement's next phase.

Operations Research & Decision Science Consultant at Independent Consulting (2021-11 – 2024-02)

Strategic Capital Allocation & Portfolio Optimization System

• Engaged as sole Optimization and Decision Science advisor to build and deploy an LP engine on IBM CP4D, integrated with TM1, governing real-time capex planning across multi-billion-dollar budgets, 200+ global markets, and 9 capex categories.
• Advised finance and strategy leadership on scenario design, automating end-to-end data exchange and one-click evaluation — cutting planning cycle time by ~70% and enabling 50+ planners with self-serve, real-time allocation scenarios.
• Delivered a decision-support tool that eliminated misallocations, maximized capex-weighted IRR, saved ~$1.6M in year one, and continues to govern multi-billion-dollar annual allocation — a durable strategic asset, not a one-off model.

Project Research Engineer at Centre for Technology Alternatives for Rural Areas, IIT Bombay (2021-08 – 2021-10)

Dashboard Design on Tableau

• Led design and build of an interactive Tableau dashboard under IIT Bombay's PRAYOG initiative to centralize and visualize societal problems, stakeholders, and solutions for institute-wide use.
• Owned data architecture end-to-end — integrating multi-source datasets via Python and SQL and automating data flows for accurate, dynamic visualization.

Data Scientist at Radix Analytics Pvt Ltd (2020-02 – 2021-07)

Procurement Planning and Blending Optimization

• Led end-to-end development of an MILP model to optimize annual cocoa-bean procurement from 7+ countries, minimizing multi-million-dollar procurement, transportation, and inventory costs across 4 product categories.
• Directed recipe-selection and production-scheduling optimization across process lines using Pyomo and CPLEX, balancing supply capacity and reducing changeovers via efficient daily roasting schedules.

M.Tech in Industrial Engineering & Operations Research – IIT Bombay (2017 – 2019)

MicroMasters in Supply Chain Management – MIT Center for Transportation & Logistics (MITx), USA (2023 – 2025)

B.Tech in Mechanical Engineering – Suresh Gyan Vihar University, Jaipur, India (2011 – 2015)