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 (2021–2025)

• 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 – NIT Rourkela (May 2024 – 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 – YOLOv8-based vehicle & number plate detection for real-time parking automation.
• MEMC-Net – Motion estimation and compensation deep learning model for video frame enhancement.
• XAMBOREE – Full-stack event management system.
• 2D Simulation – Verlet Engine – Ball physics simulation using Verlet integration.

• BS in Data Science and Applications – IIT Madras (Jan 2022)

• 📧 Email: daniel.bavisetti0579@gmail.com
• 💼 LinkedIn
• 🧠 Portfolio Website
• 💻 GitHub

“Turning data into impact with machine learning and intelligent systems.”