// available for internships

Jasjeet Singh Babra

AI / ML Engineer & BCA (Hons.) student at Symbiosis Institute.
Building models, dashboards, and AI-powered tools.

5+
PROJECTS
83%
BEST MODEL ACC.
2026
OPEN TO INTERN

About Me

I'm a BCA (Hons.) student at Symbiosis Institute of Computer Studies and Research, Pune, specializing in AI and Machine Learning. I enjoy going deep — implementing algorithms from scratch, understanding why models behave the way they do, and building tools that work end-to-end.

From comparing GNNs vs XGBoost on medical datasets to shipping full-stack AI platforms on Vercel — I like the full spectrum from research to deployment. I'm also currently practicing n8n for workflow automation. Currently studying in Pune, resident of Lucknow — open to all internship opportunities.

BCA (Hons.) — Pursuing
Symbiosis Institute of Computer Studies and Research
2023 – 2027
12th ISC (Science)
City Montessori School, Lucknow
2022 – 2023
10th ICSE (Science)
City Montessori School, Lucknow
2020 – 2021

Technical Skills

ML / DL
Machine Learning
XGBoostscikit-learnGNN / GCN (basic) Logistic Reg.Linear Reg.Random ForestNaive Bayes
DATA SCIENCE
Data & Visualization
PandasNumPyMatplotlib SeabornPlotlyStreamlitJupyter
LANGUAGES
Programming
PythonHTML5CSS3JavaScript Next.js (basic)Kotlin (basic)XMLJava
TOOLS
Tools & Deployment
GitGitHubVS Code VercelClaudeGoogle Agravity Eclipse IDESpring ToolAndroid Studio n8n (learning)Formspree

Projects

VCScout — AI-Powered VC Intelligence Platform
VIBE CODED
Next.js 14 · TypeScript · Tailwind CSS · Groq API · 2025–2026

Full-stack AI platform for VC intelligence. Features company search, signals timeline, live AI enrichment via Groq API (server-side), curated lists with CSV/JSON export, and saved searches. Deployed on Vercel.

Medical Risk Prediction — GNN vs XGBoost
SELF-WRITTEN
Python · XGBoost · scikit-learn · Matplotlib · Seaborn · Jul–Dec 2025

Compared Graph Neural Networks (GCN) and XGBoost on the ThoracicSurgery and Framingham Heart Study datasets. Built a k-NN graph (k=5), handled ~85% class imbalance with class weights. XGBoost hit 83.73% accuracy on Framingham (ROC-AUC 0.658).

Spotify 2023 Dashboard
SELF-WRITTEN
Python · Pandas · Plotly Express · Streamlit · Mar–May 2023

Interactive multi-page Streamlit dashboard for the Spotify 2023 top tracks dataset. Built 10+ dynamic visualizations. Handled comma-separated stream counts and encoding issues. Deployed on Streamlit Community Cloud.

AI/ML Self-Practice — Core Algorithms from Scratch
SELF-WRITTEN
Python · NumPy · Pandas · scikit-learn · XGBoost · Jan–Feb 2026

Implemented Logistic Regression (gradient descent, BCE loss) and Linear Regression (OLS formulas) from scratch. Compared 5 models on the diabetes dataset with full evaluation metrics. 75.32% test accuracy on custom implementation.

India Tourism Website
SELF-WRITTEN
HTML5 · CSS3 · JavaScript · AOS · 2023

Multi-page travel website with a live JS clock, scroll animations, city cards grid, photo gallery, and booking section. Built as a web technology course project.

Get in Touch

Looking for internship opportunities in AI/ML or Data Science. Currently studying in Pune, resident of Lucknow — open to all internship opportunities. Feel free to reach out!

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