I'm a Technology Consultant at Bain & Company, working at the intersection of data engineering, AI, and strategic advisory. My work spans real-world client environments. From retail giants to wholesale distributors, where I design systems that are reliable, fast, and easy for both technical and non-technical teams to own.

I care deeply about three things:

• Stability: systems that work predictably at scale
• Clarity: making complex ideas legible to every stakeholder
• Impact: measuring success by outcomes, not output

Associate  |  New Delhi, India

• Identified $20M–$30M in cost-reduction opportunities and $120M–$175M in lost sales from stock shortages for Australia’s largest drinks retail network and licensed hotel portfolio, informing the transformation roadmap through trade-off analysis and prioritization of first-wave pilot stores. Built Google BigQuery (SQL) data pipelines and Python optimization models to analyze supply chain performance and optimize warehouse-to-store distribution routes across Australia.
• Led a cross-functional initiative with the Data & Insights CoE to scale the Retail App Store’s semantic matching tool into a Euromonitor taxonomy mapping solution, achieving ~90% classification accuracy, reducing manual effort from months to weeks, and embedding Human-in-the-Loop controls to drive adoption and trust in AI-generated outputs.
• Engineered a sentiment analysis solution that quantified customer sentiment drivers across brands and themes, supporting a Swiss cruise line service provider's expedition strategy by informing proposition design, market positioning, and business-case sensitivities.
• Built and deployed Snowflake SQL pipelines for an American convenience store chain’s buy-to-grow program in Mexico, powering category strategy and supplier negotiations within a broader transformation program targeting EBITDA growth.
• Built ImageIQ, an AI-powered competitor benchmarking tool that automated product-specification extraction across 1,000 competitor SKUs in six European markets, supporting a Dutch-Belgian retail and wholesale group’s private-label sourcing program and identifying €11–31M in savings opportunities.
• Enhanced a leading Spanish retailer’s should-cost model by replacing broad commodity proxies with ingredient-level benchmarks and localized cost assumptions, identifying ~€0.4M in additional annual savings and increasing the total opportunity to ~€7.6M.
• Designed and implemented Python automation for an Australian pharmaceutical company’s COGS program, enabling Bain’s ARB toolkit and a repeatable supplier negotiation process that generated 2.0% COGS savings.
• Developed Python/PostgreSQL data pipelines for a leading British & Irish wholesale restaurant food distributor, supporting a broader multi-country transformation that delivered ~15% gross margin uplift and €160M additional gross profit, with 9 tools embedded into client systems assisting them in making improved Better Buying and Better Selling decisions.

 Retail Spotlight Award — Q1 2024, Q4 2024, Q2 2025  ·  Exceptional client delivery & Retail Centre of Excellence contributions

• Built Python data pipelines for an AI-enabled B2B invoice management platform, improving scalability of high-volume accounts receivable flows
• Optimized SQL using CTEs, stored procedures, and indexing strategies to accelerate order-to-cash workflows
• Designed data validation and quality testing frameworks to improve reliability and business alignment

• Estimated ground displacement in the San Francisco Bay Area using ERS-1 and ERS-2 satellite data
• Applied the PS-InSAR (Persistent Scatterer Interferometry Synthetic Aperture Radar) technique with Python and MATLAB to measure large-scale ground movement
• Collaborated with a multidisciplinary team to improve the STUN algorithm (Spatio-Temporal Unwrapping Network) for higher-precision Remote Sensing

Modern engineering isn’t just about code—it’s about clarity, reliability, and measurable impact. These are the core principles I anchor my work to:

[
  {
    "principle": "Clarity First",
    "guiding_idea": "Build intuitive, self‑service systems that non‑technical teams can operate confidently and independently.",
    "on_the_ground": "Design simple interfaces, clear documentation, and guardrails so business users can act fast without breaking anything."
  },
  {
    "principle": "Correctness > Clever",
    "guiding_idea": "Ship clean, maintainable, and battle‑tested code that lasts, not short‑term tricks.",
    "on_the_ground": "Prioritize readability and test coverage over cleverness; every new line should be easy to review, debug, and extend."
  },
  {
    "principle": "Measure Everything",
    "guiding_idea": "Define success by real outcomes, not activity.",
    "on_the_ground": "Track stability, runtime, cost, and how quickly decisions are made with the system—then iterate based on data."
  }
]

At the end of the day, I optimize for systems that work in production and teams that feel empowered to use them.

Built with precision. Driven by impact.