Blending a foundation in engineering with hands-on experience in Machine Learning and AI, I specialize in building intelligent systems that merge data with real-world applications. My portfolio spans real-time sports analytics with YOLOv8, predictive healthcare modeling, and EV charging demand forecasting, demonstrating the ability to translate complex data into actionable insights. Skilled in Python, SQL, Flask, and data visualization, I also bring experience in IoT concepts, automation, and smart system design, allowing me to connect hardware with data-driven intelligence. With strong analytical thinking and a creative approach to problem-solving, I aim to advance as a Machine Learning Engineer or Data Scientist, driving impactful solutions at the intersection of technology and innovation.
Developed a real-time object detection model to track tennis players and detect objects (e.g., tennis balls) using YOLOv8, enhancing sports analytics and performance tracking.
2. Pet Detection & Behavior Tracking (YOLOv8)Built a YOLOv8-based system to detect pets and monitor their behavior with visual analytics and animations for real-time activity insights.
3. Deep DNA – DNA Sequence ClassificationApplied deep learning for DNA sequence classification with disease detection capabilities, combining bioinformatics and AI for smart healthcare solutions.
4. Electric Vehicle Charging Demand ForecastingImplemented regression models with SQLite integration to forecast EV charging demand, enabling data-driven energy management with visualization dashboards.
5. License Plate Detection using YOLOv8Designed a computer vision model to detect and read license plates from video feeds, supporting intelligent traffic monitoring.
6. Multiple Disease Prediction ModelBuilt a machine learning model using Kagglee dataset to predict multiple diseases, leveraging classification algorithms for healthcare diagnostics.
Microsoft and LinkedIn certification in Career essentials in data analysis