🎓 Currently pursuing a Master’s in Data Science from Monash University, Melbourne.
💡 I'm a tech enthusiast passionate about Machine Learning, Data Engineering, and Cloud Architecture.
🎓 Currently deep diving into advanced statistics, deep learning, and ML system design.
🔭 Working on full-stack ML projects with end-to-end deployment on AWS.
💪 I actively solve problems on LeetCode, with a highest rating of 1963, placing me in the top 3.13% globally.
🌱 Actively learning from participating in Kaggle competitions.

• 🥇 Global Rank 88 in CodeChef June Long Challenge.
• 🌍 Global Ranks 202, 529, 834, 848 in LeetCode Weekly & Biweekly Contests.
• 📈 Top 3.13% on LeetCode, with a highest contest rating of 1963.
• 🧠 Published CNN-based dementia prediction research in Springer at IC3T 2022.
• ⭐ 5⭐ Python and 5⭐ C++ coder on HackerRank.

• 🚀 Prediction of Dementia using Deep Learning – Published at 4th International Conference of Computer and Communication (IC3T) in Springer book. Developed a CNN-based model using brain MRI images with ReLU, sigmoid activation and binary cross-entropy loss. Achieved 96.61% validation accuracy.
• 📊 Kaggle Competitions – Actively participating in Kaggle challenges to sharpen machine learning skills and apply advanced modeling techniques across diverse datasets, including computer vision and NLP.

• 📚 Sheldon Ross for ML-Statistics
• 🧠 Deep Learning with PyTorch and TensorFlow
• ☁️ AWS, Docker, GitHub Actions, CI/CD
• 📈 Scikit-learn, Pandas, NumPy, SQL