ARNAV SHARMA

Highly driven and efficient 4th year Computer Science Engineering student seeking an internship opportunity. Adept in programming and team collaboration, with a strong desire to apply skills in a professional environment and gain practical experience. Committed to delivering high-quality work and contributing to organizational success.

• Project: Hybrid AI Model for Diabetes Prediction
• Built a lightweight CNN + 3-layer LSTM model and a Calibrated Soft Voting Ensemble (SVM, RF, XGBoost) to predict diabetes using the PIMA dataset. Used PyCaret for AutoML, UMAP & SHAP for interpretability. Focused on efficiency and real-world deployability.
• Tools: Python, TensorFlow, PyCaret, Scikit-learn, Matplotlib, Pandas
• Hackerrank Problem Solving Certificates, Basic, Intermediate
• Game Development, Built a game using Unity Engine and C# involving Character Controller, handle Collisions and Interactions, C# Events and Interfaces, Shader Graph, Input System, Loading, State Machines.
• Advanced Document Management System, Led development with Django and MongoDB. Integrated AI/ML for intelligent file search. Successfully implemented document extraction for various formats. Proficient in Python, Django, MongoDB, and AI/ML techniques.