Niral Desai

Directed supply chain capacity planning and dispatch logic to sustain 30% YoY platform growth across a 5.5M+ daily shipment baseline. Architected zero-to-one fulfillment models including Node Bypass routing and an Omnichannel PUDO network, delivering ₹600M in annualized structural savings.

Redesigned national middle-mile routing and transit schedules, reducing platform delivery lead times by 1 day for 40% of shipments. Defined objective functions for a MILP fleet assignment model, deploying a Gurobi-powered routing solver that cut unit transportation costs by 10% and delivered ₹720M in audited annual savings.

Constructed a multivariate Recurrent Neural Network (RNN) forecasting model to predict agricultural commodity prices with over 95% accuracy. Developed a Python-based Linear Programming (LPP) tool to determine optimal raw material blending mixes, identifying ₹5M in annualized procurement savings.

Managed end-to-end outbound logistics for a 1.35 MTPA manufacturing plant, orchestrating international dispatch schedules and vendor operations across multi-country export routes. Applied lean process principles to resolve customs bottlenecks, reducing container turnaround delays by 40% and saving $1M in annual demurrage costs.

Ongoing certification in Llamasoft Supply Chain Network Design.

Grade: 8.72/10

MBA (PGDIM) with a CGPA of 8.72/10 and distinction.

Grade: 9.30/10

B.E. in Mechanical Engineering with a CGPA of 9.30/10 and distinction.

Certification in Agile Project Management.

Certification in Supply Chain Digitization.