Rishabh Panda

About Rishabh Panda

Hi, I’m a Tech. Associate at Bain & Company, passionate about building and scaling data-driven solutions that deliver real business impact. Over the past three years, I’ve worked at the intersection of data engineering, analytics, and Generative AI, helping global retail, pharma and consumer clients modernize and scale workflows.My experience spans:A) Transforming legacy systems → Led migrations from Alteryx to Python & SQL-based ETL for clients across retail, pharma, and consumer goods, improving processing speed and scalability.B) Applied GenAI solutions → Developed an OCR-powered competitor intelligence tool for a Dutch-Belgian multinational, cutting turnaround time by 70% through advanced prompt engineering, caching, and microservice deployment. Built AleXPy, a tool that streamlines the migration of Alteryx workflows to Python scripts using LangChain and OpenAI models, accelerating transitions with 75% faster turnaround through semi-automation.C) Capability building → Designed and led a GenAI bootcamp at Bain’s Retail Center of Excellence, training 115+ colleagues on Python, APIs, custom GPTs, and prompt engineering to accelerate client delivery.D) Collaboration → Led end-to-end development and management of technology solutions for a global retail client, independently driving execution while bridging cross-functional teams across Mexico City and Bangalore to deliver scalable outcomes.I’ve been fortunate to receive multiple Spotlight Awards for driving efficiency and client outcomes through technology (Q1 & Q4 2024, Q2 2025).I’m excited by the future of data + AI in shaping smarter business operations. Always open to exchanging ideas, exploring collaborations, and learning from fellow professionals.Let’s connect here on LinkedIn, or reach me at r••••••••@outlook.com.You can also schedule a conversation at https://topmate.io/rishabhpanda

Experience

1. Associate (Technology)

   Bain & Company

   Oct 2025 — Present · New Delhi, IN

   Engineered end-to-end business pipelines for a major Mexican retailer by heavily optimizing Snowflake SQL-based workflows, and setting up the underlying infrastructure. Automated manual pain points like quarterly data refreshes and critical flat-file ingestion, significantly improving reliability, and making the solution transparent for client teams to run and maintain over the years.Productionized the backend of a sentiment analysis software for an Australian hotel and poker machine operator, enabling structured analysis of customer sentiment data in the domain of hotel operations, poker machine operations, and alcoholic drinks retail.

Education

• The Coding School

  Certificate (IBM Quantum Computing & Algorithms)

• KIIT - Kalinga Institute of Industrial Technology

  Bachelor of Technology

• Navy Children School

  Kindergarten/Preschool Education and Teaching

• Kendriya Vidyalaya (KV)

  Mathematics and Computer Science