Gaurav Kumar Jha

About

B.Tech student in Computer Science and Engineering (Data Science) with hands-on experience in machine learning pipelines, recommendation systems, and churn prediction. Comfortable working with data preprocessing, feature engineering, model evaluation, and deploying interactive ML applications.

Experience

• AI & ML Intern
  Edunet Foundation
  Dec 2025 – Jan 2026

  Developed a customer churn prediction model using a structured ML preprocessing and classification pipeline. Evaluated model performance using accuracy, precision, recall, and F1-score. Applied preprocessing and feature-engineering techniques to improve model performance and data quality. Achieved an F1-score of 82.6%.

• AI & ML Trainee
  VOIS for Tech
  Nov 2025 – Dec 2025

  Performed preprocessing, feature engineering, and EDA across 3 key stages of the ML pipeline. Built a content-based movie recommendation system using CountVectorizer and cosine similarity. Optimized the recommendation pipeline to improve relevance and consistency of generated recommendations.

Education

• 2027
  B.Tech in CSE (Data Science)

  ABES Engineering College

  Computer Science · 2027

  Computer Science
• 2022 ?
  High School

  2022
• 2020 ?
  Secondary

  2020

Skills

Tools / apps / platforms

Projects

• Customer Churn Prediction
  Python, Scikit-learn, XGBoost

  Built an ML model to predict telecom churn using preprocessing and feature engineering with Random Forest and XGBoost. Achieved an F1-score of 82.6%.

• GRU-based Next Word Prediction
  Python, TensorFlow, HuggingFace

  Developed a GRU-based sequence model for next-word prediction. Implemented tokenization, n-grams, and padding using Keras and deployed a real-time prediction app; used NLTK for dataset extraction.

• Movie Recommendation System
  Python, HuggingFace, Scikit-learn

  Built an NLP-based content recommendation system using TF-IDF, Bag of Words, and cosine similarity. Deployed an interactive app using HuggingFace.

Courses & certifications

• Udemy Certified in ML, DL and Generative AI · Udemy

🏆 Achievements & awards

• IEEE Conference Publication and 2nd Rank

  Published 'Heart Disease Prediction & Consultation System By AI/ML' at an IEEE Conference and secured 2nd Rank.

• LeetCode Problems Solved

  Solved 300+ problems on LeetCode.

⚽ Extracurricular activities

• Pragyān Hackathon Participant

  Participated in the college hackathon Pragyān.