I'm Priyanshi — a developer working across web development, data analysis, and blockchain. Studying CS at Presidency University, specializing in blockchain, with a growing focus on turning raw data into decisions.
Web development is where I build the thing people actually touch — interfaces, pages, small tools that ship. My GitHub profile itself and side projects like a deployed joke generator started here.
Data analysis is where I turn raw numbers into a decision. I built a full Power BI dashboard on Ola ride-share data, then added an AI layer on top — an LLM scores review authenticity, with a rule-based engine as a fallback when the model can't be trusted to run alone.
Blockchain is where I go when trust needs to be provable, not promised — my specialization at Presidency University. EscrowFlow holds freelance payments until both sides agree, no intermediary required.
Previously interned at The Yarn Bazaar, building an LLM/RAG chatbot. Currently learning ML from first principles — most recently, implementing linear regression with no libraries, just to see the gradient descent happen by hand.
AI & ML is the newest chapter, still very much in progress — working through the math behind the models instead of just calling an API, one algorithm at a time.
End-to-end Power BI dashboard on ride-share data, with an AI-powered hybrid trust-scoring feature — an LLM scores review authenticity, with a rule-based fallback when it can't run.
View repository →Linear regression implemented from scratch, no libraries — gradient descent, cost function, and weight updates all written by hand to actually understand what's happening under the hood.
View repository →An escrow-based freelance payment smart contract on Ethereum — funds release only when both parties confirm, with no intermediary holding the money.
View repository →Steganography detection platform built for the FusionX Hackathon's Blockchain & Cyber Security track, presented under Team Trail Blazers.
View repository →End-to-end churn prediction pipeline on real Telco data — MySQL for SQL analysis, Random Forest ML model (AUC: 0.83) to score 7,032 customers by churn risk, and a 5-page Power BI dashboard surfacing $139K monthly revenue at risk.
View repository →Open to Data Analyst and Blockchain Developer roles. If you've got something worth building — or verifying — I'd like to hear about it.