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Getting closer to engineering software that makes life easy
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Getting closer to engineering software that makes life easy

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rishabh-panda/README.md


I blend software engineering, business strategy, and AI to build production‑grade systems that make data feel alive—turning raw numbers into clear, fast‑moving insights that teams actually use.


About Me

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

Experience

Bain & Company  ·  Technology Consultant

Associate  |  New Delhi, India

Key Contributions
  • 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.

Tech Domain Impact
Snowflake Retail Data Orchestration Engine (Client Site - Mexico) Designed and scaled Snowflake SQL workflows, building an orchestration pipeline that automated quarterly retail data refreshes and enabled reliable client-side deployment
Supply Chain & Warehouse-Store Route Optimisation (Client Site - Australia) Developed Python scripts and managed large-scale data pipelines using Google Cloud SQL for supply chain and store-warehouse route optimisation for an Australian alcoholic drinks retailer.
OCR + LLM Intelligence Tool (Client Site - Netherlands) Built backend for vendor using Azure Document Intelligence + OpenAI models; delivered ~70% faster turnaround for pricing intelligence, competitor benchmarking and supplier negotiations
Python Pipeline Revamp (Client Site - Spain) Streamlined multi-stage pipelines for a leading Spanish retailer, reducing dashboard refresh times by ~80% and enabling near-real-time decisions
AlteryxPython Migration (Client Site - UK & Ireland) Re-platformed Alteryx Designer workflows to modular Python+Transact-SQL scripts, removing "paid license dependency" and improving reporting turnaround by 60%
AWS Redshift Optimization (Client Site - USA) Improved SQL data ingestion efficiency by leveraging Apache Parquet file formats, accelerating analytics delivery for pricing and supply planning
SQL Server Automation (Client Site - US Warehouse Clubchain) Python automation delivered 50% faster large file uploads and reduced manual effort by ~70%
Skill Spark AI Bootcamp Designed and led AI enablement program training 115+ consultants in Python, and GenAI for rapid prototyping to bridge the gap between technical/business professionals
AleXPy — Production-Grade Prototype Built a LangChain-powered migration tool to semi-automate Alteryx to Python data workflow conversion, cutting development effort by 75%

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


HighRadius  ·  Product Engineer

  • 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

IIT Kharagpur  ·  Researcher — Remote Sensing & Geospatial Analytics

  • 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

Tech Stack

Languages

Python SQL C++ HTML/CSS

Data & AI

Python Pandas NumPy LangChain LangGraph NLTK

Backend & APIs

FastAPI Docker OpenAPI

Data Platforms & Cloud

Snowflake Amazon Redshift Amazon S3 Azure Google Suite

Analytics & BI

Tableau Alteryx Plotly Excel

Tooling

Git VS Code Cursor Kiro DBeaver SSMS


How I Work

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.


GitHub Activity



Built with precision. Driven by impact.

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  1. agentic-travel-planner agentic-travel-planner Public

    Multi-agent travel planning system using Groq's Llama 3.3 70B LLM API. Research attractions, calculate budgets, and generate personalized day-by-day itineraries, all under 30 seconds.

    Python

  2. digital-signal-processing digital-signal-processing Public

    Fundamental continuous and discrete-time signals and their implementations using Matrix laboratory. Concepts include CTS, DTS, Amplitude modulation, Amplitude demodulation, Double sideband suppress…

    Python 21 5

  3. retail-customer-feedback-analyzer retail-customer-feedback-analyzer Public

    Zero-cost LangGraph agent for analyzing retail reviews using free LLM APIs (Groq 14K/day or GLM-4.7-Flash). Extracts sentiment, topics, and actionable insights with full local control – no paid sub…

    Python

  4. speech-enabled-prescription speech-enabled-prescription Public

    Speech Enabled Medical Prescriptor using Google Web Speech API and SpeechRecognition.

    Jupyter Notebook 1

  5. color-space-translator color-space-translator Public

    Converting colors from RGB to HSI of an image given in RGB color space by computing the Hue (H), Saturation (S), Intensity (I) percentages and vice-versa.

    Python 3

  6. microwave-engineering-files microwave-engineering-files Public

    This repo contains my engineering lab experiment simulations and reports for MWE. Softwares Used: CST Studio Suite 2019, Scilab 6.1.0. MWE is the area of science and technology concerned with the s…

    Scilab 2 1