Welcome to my GitHub profile! I'm a Machine Learning Engineer and Data Scientist passionate about building intelligent systems that solve real-world problems. My work spans across machine learning, deep learning, computer vision, IoT, and full-stack development.
Languages: Python, SQL, C++, JavaScript, HTML/CSS, Java, Bash
Frameworks/Libraries: PyTorch, TensorFlow, OpenCV, Pandas, NumPy, Matplotlib, Seaborn
Tools: Power BI, Tableau, Flask, Git, APIs
Specializations: Machine Learning, Deep Learning, NLP, Computer Vision, Data Science, IoT
B.Tech (Hons.) in Computer Science and Engineering
XIM University, Bhubaneswar (2021β2025)
- CGPA: 7.71 | Class 12: 94.1% | Class 10: 9.7 GPA
- Courses: Machine Learning, Deep Learning & NLP, AI, Big Data, Software Engineering, Blockchain
Research Intern β NIT Rourkela (May 2024 β July 2024)
- Built an IoT-based Smart Parking System with YOLO-based vehicle & license plate detection.
- Achieved 95%+ accuracy and deployed real-time tracking and server communication.
- Focused on model optimization for edge devices (IoT).
- Smart Parking System β YOLOv8-based vehicle & number plate detection for real-time parking automation.
- MEMC-Net β Motion estimation and compensation deep learning model for video frame enhancement.
- XAMBOREE β Full-stack event management system.
- 2D Simulation β Verlet Engine β Ball physics simulation using Verlet integration.
- BS in Data Science and Applications β IIT Madras (Jan 2022)
- π§ Email: daniel.bavisetti0579@gmail.com
- πΌ LinkedIn
- π§ Portfolio Website
- π» GitHub
βTurning data into impact with machine learning and intelligent systems.β

