Chhavi Jain

Chhavi Jain

I'm Chhavi Jain — a computer science student who enjoys turning ideas into things that work. I like understanding a problem and building a practical solution around it — through software, data, machine learning, or something built from scratch. I'm still exploring where technology can take me, but I know I enjoy learning by building.

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Chhavi Jain — AI / ML, software and research

Software · AI / ML · Research

Portrait of Chhavi Jain

I build software, explore data and machine learning, and turn ideas into practical systems.

Computer Science student in Jaipur — from full-stack apps and data pipelines to computer vision and research.

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(01) Skills

What I build with.

A working toolkit across data, machine learning, software and deployment — chosen around what the problem needs.

Toolkit Hover or tap any tool to see where I’ve used it

(02) Selected work

Four projects, opened up.

  1. 01

    SakhiSign

    Real-time sign-language evaluation that needs zero training data. Computer vision · Full-stack · Live 18-Dgesture vector
  2. 02

    Lead Scoring System

    Ranking 9,000+ sales leads by how likely they are to convert — without cheating. ML pipeline · Celebal internship 0.893ROC-AUC
  3. 03

    Intelligent Tourist Guide

    Multi-day itineraries, live disaster alerts and SOS for travellers in Northeast India. Hackathon · SIH 2025 1stof 50+ teams
  4. 04

    Parkinson's Voice Classifier

    A decision-support dashboard that screens from 22 voice-derived features. Healthcare ML · Provis internship 22acoustic features

More on GitHub ↗

(03) Experience

Where I've put it to work.

May — Jul 2026 · Jaipur

Data Science Intern — Celebal Technologies

  • Selected through the Celebal Excellence Internship and completed 5+ technical assignments across data cleaning, EDA, feature engineering and supervised learning.
  • Built a Lead Scoring System for 9,000+ sales leads, using cross-validation, model comparison and hyperparameter tuning to reach 0.893 ROC-AUC and 91.8% recall on held-out data.
  • Shipped it as a Streamlit application with preprocessing, batch scoring and an interactive, threshold-based prediction interface.

Research · 8 weeks · 2026

LUSIP 2026 — Undergraduate Summer Internship

LNMIIT

  • Worked on lightweight model development for low-power AI applications, under the guidance of Dr. Gaurav Chatterjee.
  • Completed the 8-week LNMIIT Undergraduate Summer Internship Program, 1 June – 27 July 2026.

Research · 2026 · VIT Vellore

ACM India Summer School — Systems for Machine Learning

  • Selected for ACM India’s Summer School on Systems for Machine Learning at VIT Vellore, held 1 – 12 June 2026.

Jun — Jul 2025 · Jaipur

Data Science Intern — Provis Technologies

  • Built a Parkinson’s Voice Classifier from feature analysis through to a deployed Streamlit decision-support dashboard.
  • The dashboard screens with an XGBoost classifier on 22 voice-derived acoustic features, with batch CSV scoring, adjustable decision thresholds, feature-importance views and exportable predictions.
  • Cleaned and feature-extracted 10,000+ records using Pandas and NumPy, and automated 5+ recurring cleaning routines that reduced manual data-entry errors by approximately 20%.

Jul 2024 · Jaipur

Front-End Development Intern — AeroPhantom

  • Optimised data-heavy analytics dashboards, reducing initial load time by 10% through asset minification and render-path clean-up.

Education B.Tech, Computer Science & Engineering — Poornima Institute of Engineering and Technology · 2023 – 2027 (Expected) · CGPA 8.68 / 10

Certifications NPTEL — Database Management Systems · Programming in C · Entrepreneurship

(05) Contact

Let’s build something.

jainchhavi006@gmail.com