🎓 Graduate Student in Data Science @ University at Buffalo (Expected May 2025)
💡 Passionate about AI, Machine Learning, and Computer Vision — with experience in building intelligent systems that combine research insight and real-world scalability.
I’m an aspiring AI Engineer / Data Scientist / Computer Vision Researcher, focused on solving challenging real-world problems through data-driven insights and deep learning models.
My projects span across domains — from autonomous traffic object detection, transformer architectures for text understanding, financial LSTM forecasting, to molecular dynamics simulation using LAMMPS and MATLAB.
I enjoy transforming complex datasets into practical applications and have experience with the entire ML pipeline — data preprocessing, model building, optimization, visualization, and deployment.
✨ Please do checkout my new blackberry, lime image classifying live web app. It is a bit interesting 😅.
Repo Link for information, Web app link
Languages: Python, MATLAB, SQL, R, C
Core Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, OpenCV, Seaborn
Deep Learning Frameworks: PyTorch, TensorFlow
Specialized Areas:
- Neural Networks (CNNs, RNNs, LSTMs, Transformers)
- Computer Vision (YOLO, Object Detection, Image Processing)
- NLP (Text Classification, Attention Models)
- Financial & Time-Series Modeling (VaR, Risk Estimation)
- Simulation (Molecular Dynamics, LAMMPS, MATLAB Analysis)
- Database & Querying (MySQL, SQLite, MongoDB)
Tools & Platforms: Git, Jupyter, VS Code, Kaggle, Flask, Docker, Google Colab
📄 Cardiovascular Disease Prediction using Machine Learning
Published in International Journal of Scientific Research in Engineering and Management (IJSREM)
🔗 View Publication
AI & Deep Learning Intern (14 months)
Developed end-to-end AI systems integrating computer vision, NLP, and predictive analytics.
• Focused on optimizing CNNs and transformer models for efficiency and scalability.
• Deployed ML pipelines and managed experimentation workflows using Python & PyTorch.
Graduate Research & Project Work – Data Science, AI & Deep Learning @ University at Buffalo
Worked on applied ML projects spanning computer vision, NLP, and data analytics — from real-time detection to deep sequence learning and simulation modeling.
M.S. in Engineering Science (Data Science)
University at Buffalo, The State University of New York
📅 Jan 2024 – Aug 2025
B.Tech in Indian Institute of Technology Bhubaneswar (IIT Bhubaneswar)
📅 2019 – 2023
💼 LinkedIn – Rishi Shanthan Bhagavatham
💻 Kaggle – Rishi_Shanthan
📫 Email: [email protected]
📍 Buffalo, New York, USA
⭐ "Building models that see, think, and act intelligently."