Analytical and results-driven student with a strong foundation in data analysis, machine learning, and Generative AI. Proficient in Python, SQL, and data analytics tools to perform data cleaning, exploratory data analysis (EDA), and data visualization.
Experienced in building end-to-end ML projects and leveraging GenAI tools to automate analysis and generate actionable insights. Eager to apply data science skills to solve complex, real-world problems.
Bachelor of Technology in Computer Science and Engineering (AI/ML)
Aug 2022 - May 2026
CGPA: 7.86/10
Developed a full-stack web application to assist users with resume building, interview preparation, and industry insights using AI-powered tools.
Implemented Resume Builder with PDF export, Interview Prep with AI-generated questions, and secured authentication with efficient data storage.
Engineered an end-to-end churn prediction model using extensive data cleaning, EDA, and SMOTE; achieved 92% accuracy with an XGBoost ensemble tuned via Optuna.
Developed interactive data visualizations with React and SHAP to communicate model predictions and feature importance to stakeholders.
Built a full-stack system to analyze air quality using sensor and satellite data, implementing U-Net/DeepLabV3 for automated smoke/dust detection.
Deployed Prophet and Transformer models for time-series forecasting, presenting actionable pollution trends on a React-based dashboard.
Created a training platform using FastAPI and PostgreSQL that leverages Hugging Face Transformers (GenAI) to auto-generate summaries and quizzes from user-uploaded documents.
Implemented JWT authentication and automated the content creation workflow, significantly speeding up the generation of learning materials.
Selected as one of the top 2000 students in India, completing modules on Supervised Learning, Deep Neural Networks, Generative AI, Causal Inference, and Reinforcement Learning.
Completed certification from Udemy, mastering LLMs, RAG pipelines with LangChain, vector databases, and model deployment using Docker.
Completed certification from PW Skills, gaining expertise in machine learning workflows, statistical analysis, and AI model implementation.
Ready to collaborate on exciting AI/ML projects or discuss data science opportunities.