Open to collaborations & internships

I turn data into decisions.

Data Analyst & Backend Engineer building dashboards, data products, and cloud-backed systems. Currently based in Bangalore.

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A bit of context

I'm a Data Analyst and Backend Engineer who likes working where analysis meets execution. I spend most of my time cleaning noisy data, building dashboards that people actually use, and writing the backend code that turns insight into a reliable product.

I study at Dayananda Sagar College of Engineering in Bangalore. Outside classes, I keep building practical projects around fintech, machine learning, and data-heavy products.

The through-line in my work is clarity: clean pipelines, understandable visualizations, and systems that are simple enough to maintain when things get real.

5+
Projects shipped
3
Ensemble models built
GCP
Cloud deployments
19
Years old

What I work with

Tools and technologies I use to bring ideas to life.

Data Analysis & Visualization

PandasNumPyMatplotlibSeabornPlotlyExcel / SheetsStatistical Analysisscikit-learn

Databases & Querying

SQLPostgreSQLData CleaningETL PipelinesData Modeling

Backend & Cloud

PythonFlaskREST APIsDockerGCP Cloud RunVertex AIC / C++

Systems & Tools

LinuxGitBashNeovimJavaScript

Things I've built

Projects that showcase my skills in data analysis and backend development.

finTWIN — AI Financial Digital Twin

Live App

High-fidelity, client-side Monte Carlo Financial Simulator

A high-fidelity Monte Carlo simulator designed to model long-term wealth trajectories. It provides real-time probabilistic outcomes and personalized financial health scoring through rigorous stochastic modeling.

Vanilla JSHTML5 CanvasMonte Carlo Engine
Read Case Study →

Fintech Churn Intelligence Dashboard

Live Demo

Real-time churn prediction for Indian neobanks

Live dashboard surfacing at-risk customer segments using UPI behavior, CIBIL scores, and inactivity signals. Built for early-stage fintech founders who need churn visibility without a full data team.

PythonPlotly DashPandasDockerRailway
Read Case Study →

BioSense | AI Diagnostics API

GitHub

Medical image classification API with Grad-CAM explainability. Containerized with Docker and deployed on GCP Cloud Run for low-latency inference.

FlaskDockerGCP Cloud RunGrad-CAM

FoodLoop | Sustainability Platform

GitHub

A platform connecting food industry surplus with NGOs to reduce waste and improve donor-to-recipient logistics for communities that need it most.

JavaScriptSystems DesignSocial Impact

File Splitter CLI

GitHub

Minimal Python command-line utility to split large files into chunks and merge them back again, built for working with large datasets on constrained systems.

PythonCLIFile I/O

Latest from the blog

Thoughts on data analysis, engineering, and building things.

Work with me

What I can help you with.

01

Data Analysis

Got a dataset you don't know what to do with? I'll clean it, explore it, and pull out the insights that matter. Delivered as a clear report or interactive notebook.

02

Dashboards & Visualization

Interactive dashboards built with Plotly or web tools, designed to be useful in real decisions instead of just looking good in screenshots.

Learn more →
03

Collaborations & Internships

Open to teaming up on ML projects, hackathons, and Kaggle competitions. Also actively looking for internships in data or ML engineering.

Available for freelance & internships

Let's work together

Need data analysed, a dashboard built, or looking for someone who ships? Let's talk.