VANSH BHATI
B.Tech Student
+91-8305590122 vanshbhati522@gmail.com linkedin.com/in/vanshbhati github.com/whenvanshcodes Indore ,(M.P)
Summary
Final-year B.Tech Computer Science student with strong skills in Data Science and Full-Stack Web Development. Experienced in Python (Pandas,
Scikit-learn, XGBoost) for building projects like customer churn prediction and credit card fraud detection. Proficient in the MERN stack (MongoDB,
Express.js, React.js, Node.js) with projects such as Quick Tickets, a ticket booking app. Completed a frontend development internship at Bellway
Infotech. Skilled in developing responsive, user-focused web applications and working with REST APIs and Git.
Education
Chameli Devi Group Of Institutions, Indore (University RGPV ,Bhopal) Indore
B.Tech In Computer Science And Engineering | CGPA: 6.9 / 10 06/2022 - 05/2026
Shri Cloth Market Vaishnav H.S. School Indore
High School Certification (12th), Percentage: 65% 08/2019 - 05/2022
Shri Cloth Market Vaishnav H.S. School Indore
High School Certification (10th), Percentage: 59% 06/2019 - 05/2020
Skills
Languages: Python JavaScript HTML5 CSS3
Libraries/Tools: React Node.js Express MongoDB Git Postman
Machine Learning: Scikit-learn Pandas NumPy Matplotlib Seaborn XGBoost SMOTE
Others: REST APIs Razor pay Google Colab MongoDB Atlas Visual Studio Code CRUD Operations Jupyter Notebook
Projects
Customer Churn Prediction
github.com/whenvanshcodes/churn-predcition
• Predicted churn using Telco dataset with Logistic Regression, Random Forest & XGBoost.
• Performed EDA and feature engineering using Pandas and NumPy.
• Evaluated models using ROC-AUC and F1-score.
Credit Card Fraud Detection
github.com/whenvanshcodes/cc-fraud
• Built ML model using SMOTE and XGBoost to detect fraudulent transactions.
• Evaluated models with precision, recall, F1-score, ROC-AUC.
• Visualized results using Seaborn and Matplotlib.
Quick Tickets – Ticket Booking Web App
• Created a MERN app for ticket booking with payment and login features.
Experience
Bellway Infotech Indore, India
Frontend Development Intern 05/2025 - 07/2025
• Built responsive UI using React.js, reducing mobile load time by 25%.
• Integrated REST APIs to serve dynamic content for 100+ user sessions.
• Improved Core Web Vitals by optimizing rendering and image delivery.
• Collaborated via GitHub in a 3-member development team.
Certification
Data Science with Python Geek for Geeks Started: June 2025