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.
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 Consultant | New Delhi, India
Key Contributions
| 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 mathematical algorithms in Python and managed large-scale data pipelines using Google Cloud SQL for daily analytics and monitoring for an Australian alcoholic drinks retailer. |
| OCR + LLM Intelligence Tool (Client Site - Netherlands) | Built backend using Azure Document Intelligence + OpenAI models; delivered ~70% faster turnaround for pricing intelligence, competitor benchmarking and supplier negotiations |
Python Pipeline Modernization (Client Site - Spain) |
Streamlined multi-stage pipelines for a leading Spanish retailer, reducing dashboard refresh times by ~80% and enabling near-real-time decisions |
Alteryx → Python 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, Prompt Engineering, and Azure OpenAI tools |
AleXPy — Production-Grade Vibe Coding 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
- Built
Pythondata pipelines for an AI-enabled B2B invoice management platform, improving scalability of high-volume accounts receivable flows - Optimized
SQLusing CTEs, stored procedures, and indexing strategies to accelerate order-to-cash workflows - Designed
data validationandquality testingframeworks to improve reliability and business alignment
- Estimated ground displacement in the San Francisco Bay Area using
ERS-1andERS-2satellite data - Applied the PS-InSAR (Persistent Scatterer Interferometry Synthetic Aperture Radar) technique with
PythonandMATLABto 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.