APIM Engineer. Analytics Grad. Published Researcher.
I spent the better part of two years automating the infrastructure that makes global operations run — then decided to understand the business behind it. B.Tech CSE from VIT. PGDM at Great Lakes. Currently an Analyst Intern at BNY.
I have watched this happen from both sides of the table. Engineers ship features that miss the business problem entirely. Strategy teams propose roadmaps that are technically incoherent. The gap between them is not a communication problem — it is a fluency problem.
I have spent months building deep fluency on the engineering side — architecting APIs across global enterprise operations, automating at scale, owning outcomes. Now I am building the same fluency in business, analytics, and strategy. Not to pick a side. To be the person who does not have to.
I am a 24-year-old engineer who got tired of seeing only one side of the equation. At Schneider Electric, I built and automated API infrastructure consumed by Sales, Marketing, Operations, HR, Banking and B2C users across the globe — 70+ interfaces, 3.3B+ annual transactions, zero-downtime migration of 365 APIs.
That work earned me the ExcellenSE Mountain Mover Award and a Step-Up Recognition. It also made clear that the most interesting problems live at the intersection of technology and business strategy — not inside either one alone.
Now I am at Great Lakes Institute of Management, Chennai with a focus on analytics, and currently interning at BNY. Co-authored research published in Elsevier with 65+ citations. Competed in national hackfests. The pivot is deliberate — this is the honest, unembellished version of that story.
Awarded by Schneider Electric for the successful platform migration of 365 APIs with zero downtime — ensuring continuity for 400+ stakeholders and 3.3B+ annual transactions.
Internal Schneider Electric recognition for automating the API Development lifecycle — reducing development time by 40% through Python, Flask, and XRAY integration.
Reached the zonal finals presenting an innovative solution to enhance life insurance penetration among young adults in India.
Shortlisted for Schneider Electric's MobiliSE Strategic Bootcamp by solving an ERP unification case — a competitive internal strategy challenge.
Ongoing research on market microstructure — studying the mechanics of financial markets at granular levels: price discovery, liquidity, order flow, and trading behaviour. Details pending faculty clearance.
Biomimicry-inspired synthetic persona simulation for Indian D2C market research. 30+ AI personas across 10 state clusters. 69% ROMI vs 38.8% for traditional methods. IRR 34.7%, NPV ~₹20.7L.
Co-authored research on game-based learning for programming education, published in Elsevier Procedia Computer Science. Shortlisted for WEEF 2019. 65+ citations.
Early detection model using Logistic Regression and KNN — achieved 96.5% accuracy. Applied ML for high-stakes medical prediction.
Selenium + C# + .NET automation to extract competitor pricing from Duty Free retail websites across multiple countries. Built and deployed during internship at Beez Labs.
Core Committee, Analytics Club — hosted 2 data events and SQL workshops. Managing alumni database of 15,000+ records.
Published research during undergrad. Marketing Head, ACM Student Chapter 2019.
Consistent academic excellence across board examinations.
Engineer by training. Analyst by choice. Always open to conversations about work, research, or ideas that sit uncomfortably at the intersection of tech and business.