π Hello World! I'm Ganesh Biradar
π M.Tech (Data Science & Analytics) | π» Software Developer | π€ Machine Learning Enthusiast
Welcome to my GitHub profile! I'm a passionate technologist with strong foundations in software development and growing expertise in data science, machine learning, and explainable AI. I enjoy solving real-world problems using clean code, data-driven insights, and scalable systems.
π Master of Technology in Data Science & Analytics (Pursuing) β MIT World Peace University, Pune
π Bachelor of Computer Engineering β GPA: 7.49
πΌ Software Development & Web Development Intern
π Strong interest in Machine Learning, Data Analytics, and AI-driven systems
π Hands-on experience in Java, Python, SQL, ML frameworks, and Full-Stack Development
π June 2024 β August 2024
- Developed and optimized backend modules using Java and MySQL, improving query efficiency and reducing API response time by 25% through indexing and refactoring
- Built interactive UI components using Angular, HTML, CSS, and JavaScript, enhancing usability and navigation
- Automated repetitive development tasks using utility scripts, increasing team productivity by 20%
- Designed and integrated RESTful APIs ensuring seamless frontendβbackend communication
- Conducted JUnit-based unit testing, resolving 15+ defects and improving application stability
- Python, Java, SQL, C
- Pandas, NumPy, Scikit-learn
- TensorFlow, Keras
- Matplotlib
- MySQL, SQLite
- Excel, PowerPoint, Tableau
- PyCharm, Jupyter Notebook, VS Code, IntelliJ IDEA
- Google Colab
- Rapport Building
- Stakeholder Management
- People Management
- Excellent Communication
π Aug 2023 β Apr 2024
- Developed a YOLOv5-based vehicle detection model achieving 92% accuracy for real-time traffic density estimation
- Designed a dynamic traffic signal control algorithm to optimize green signal timings
- Built a PythonβPygame traffic simulator for multi-lane traffic and signal behavior testing
- Implemented emergency vehicle priority logic enabling automatic signal override
π Jul 2025 β Sep 2025
- Built an ML-based crime prediction system using XGBoost, Random Forest, Logistic Regression
- Implemented spatio-temporal feature engineering and grid-based density mapping
- Integrated Explainable AI (SHAP & LIME) for transparent and bias-aware predictions
- Generated crime hotspot maps, SHAP visualizations, and trend analytics
π Oct 2025 β Nov 2025
- Developed a TensorFlow Liteβbased real-time face mask detection system using a custom CNN
- Applied quantization-aware inference (FP16/INT8) for optimized on-device performance
- Integrated OpenCV webcam pipeline with live prediction overlays
- Deployed TFLite Interpreter with manual tensor handling for efficient inference
- Full-stack application developed using Java, Spring Boot, MySQL, Angular
- Implemented CRUD operations and RESTful APIs for crime, suspect, victim, and report management
- Designed a normalized relational database schema
- Built interactive dashboards for data visualization and analysis
- Java-based application for managing medicine inventory, billing, and suppliers
- Applied OOP principles, database connectivity, and modular design
- Ensured data consistency using MySQL
- Java application to calculate and manage electricity bills
- Implemented customer records, billing logic, and report generation
- Used OOP concepts and file/database handling
- Responsive website developed using HTML, CSS, JavaScript
- Implemented booking forms and inquiry management
- Focused on UI/UX and cross-device compatibility
- Automated system log monitoring using Bash scripting
- Configured cron jobs for scheduled execution
- Implemented email alerts for critical log events
- Designed and developed a professional personal portfolio
- Showcases projects, skills, resume, and contact information
- Built with a clean, responsive UI
- Advanced Machine Learning & Data Analytics projects
- Strengthening Explainable AI (XAI) and model interpretability skills
- Improving Python, SQL, and Java for scalable systems
- Preparing for Data Scientist / ML Engineer / Software Developer roles
- Programming in Python β Meta
- Introduction to Data Analyst β IBM
- Foundations: Data, Data, Everywhere β Google
π§ Email: gannibiradar@gmail.com
πΌ LinkedIn: https://www.linkedin.com/in/biradarganesht
π GitHub: https://github.com/GaneshTBiradar
β¨ Thanks for visiting my profile!
π Always open to collaboration, learning, and building impactful solutions.