About
Pre-final year B.Tech Artificial Intelligence and Data Science student with hands-on experience across the end-to-end ML lifecycle, including EDA, feature engineering, model tuning, and deployment. Seeking an internship opportunity in AI/Machine Learning/Data Science to apply and expand practical skills.
Education
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B.Tech in Artificial Intelligence and Data ScienceArtificial Intelligence and Data Science · 2024 – 2028
Skills
Tools / apps / platforms
Projects
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Python, Pandas, NumPy, Scikit-learn, XGBoost, Matplotlib, Seaborn, Git, GitHub
Built an end-to-end customer churn prediction system for a SaaS provider with 10,000 customers and 31 features; performed cleaning and preprocessing, trained and compared 5 tree-based models, and saved the pipeline with Joblib for deployment.
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Python, Pandas, NumPy, Scikit-learn, XGBoost, Optuna, FastAPI, Pydantic, Streamlit, Docker, Git, GitHub
Developed an employee attrition prediction system using the IBM HR Analytics dataset with 7 ML models; fine-tuned Random Forest with Optuna and threshold tuning; built a FastAPI backend with Pydantic validation and a Streamlit dashboard; containerized and deployed using Docker.
Courses & certifications
- The Ultimate Job Ready Data Science Course · CodeWithHarry · 2026
- EDA and Data Visualization in Data Science · Scaler · 2026
- Intro to Machine Learning · Kaggle · 2026
- Introduction to Data Science · Cisco Networking Academy · 2025
- Data Analyst · Microsoft × Simplilearn · 2025
⚽ Extracurricular activities
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Joint Head – Training & Placement Cell
Liaising with students and the training and placement team to organize training programs, placement activities, and related events; assisting with technical sessions and workshops.
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Coordinator – Media Domain, Training & Placement Cell
Created and managed social media content related to training and placement activities and collaborated with team members to facilitate placement training and workshops.