open to data analyst & developer roles
Priyanshi Trivedi
trivedipriyanshi072004@gmail.com

I build the interface, analyze the data, and verify the transaction — in that order.

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.

StackWeb · Data · Chain
GPA8.1 / 10
BaseBangalore, IN
StatusAvailable

Two ledgers, one builder.

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.

HTML/CSS/JS SQL Power BI Python Solidity Ethereum Java Git

Recent activity

WeMakeDevs × Cognee Hackathon
Open source contributor — issues #2738, #3276
FusionX Hackathon
ThreatPixel AI — steganography detection, Team Trail Blazers
The Yarn Bazaar
Internship — LLM/RAG chatbot
Presidency University
B.Tech CSE, Blockchain specialization

The chain so far.

#01
prev → genesis confirmed

Ola Rides Analytics Dashboard

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.

Data AnalysisPower BILLMDAX
View repository →
#02
prev → 0x1a4c...e820 confirmed

ML Learning Log — Linear Regression

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.

Data AnalysisPythonNumPy
View repository →
#03
prev → 0x8f2a...c91e confirmed

EscrowFlow

An escrow-based freelance payment smart contract on Ethereum — funds release only when both parties confirm, with no intermediary holding the money.

BlockchainSolidityEthereum
View repository →
#04
prev → 0x3d17...a405 confirmed

ThreatPixel AI

Steganography detection platform built for the FusionX Hackathon's Blockchain & Cyber Security track, presented under Team Trail Blazers.

BlockchainSecurityPython
View repository →
#05
prev → 0x6b90...1f7c confirmed

Customer Churn Prediction Dashboard

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.

Data AnalysisPythonMySQLMachine LearningPower BIDAX
View repository →
block #05 — pending

Let's confirm this one together.

Open to Data Analyst and Blockchain Developer roles. If you've got something worth building — or verifying — I'd like to hear about it.