About Me

I’ve spent the last few years working at the edge of logistics and platform strategy scaling last-mile networks, leading operations, and rethinking how partner ecosystems function. But I don’t just manage workflows. I question them. And I use data to redesign them.

With a background in supply chain management and operations research, I focus on solving real-world problems through algorithms, automation, and practical experimentation. Whether it’s designing a new pricing model or mapping operational behavior into data-driven structures, I love turning complexity into clarity.

Portrait

Where I thrive

  • Building optimization models with Python, Gurobi, and Pandas
  • Designing and developing machine learning based solutions for predictive analytics and decision automation
  • Prototyping decision tools using Excel and Streamlit for rapid business validation
  • Applying operations research to pricing, routing, and planning problems with measurable impact
  • Designing algorithmic logic to steer partner and delivery decisions in real-time
  • Running simulations and scenario analyses in cloud environments (AWS, Azure) at scale
  • Designing pricing models that reflect market behavior and margin goals while optimizing conversion
  • Bridging the gap between Ops and IT through hands-on requirements management and system design input

Selected Projects

Crowdsourced Routing & Pricing Logic

A multi-variable pricing model for a delivery platform using Python and optimization heuristics improving partner acquisition cost-per-order.

Intelligent Dynamic Pricing

A machine learning model to optimize pricing strategies for crowdsourced logistics. By learning from historical job data and contextual features, the model recommends price ranges that balance partner activation, margin, and fulfillment rate.

PathMatrix Optimizer

A lightweight tool to simulate and evaluate static linehaul configurations between hubs. The tool calculates cost, lead time and capacity utilization across different network setups and supports data-driven decision-making in middle-mile planning.