• Tasked with personalized fitness training using artificial intelligence and reinforcement learning technologies.• Pioneered the use of AI and reinforcement learning, leading the development and deployment of an innovative model for affordable and mobile-accessible training and dieting.• Developed and deployed three machine learning models predicting user behavior, actively collaborated with healthcare teams, and led multiple cross-functional projects to redefine fitness industry standards.• Continuously advancing the model and fostering collaboration among diverse teams. The ongoing efforts are poised to redefine the fitness industry, enhancing personalized fitness experiences for users.

• Tasked with optimizing customer targeting for term deposit products in the banking sector.• Applied Agile methodologies, mastered version control, and deployed Flask applications for data analysis.• Collaborated with three diverse teams, deploying Flask applications, and pioneering the development of the predictive model using advanced data science techniques.• Achieved an 86% accuracy rate with the predictive model, significantly improving customer targeting and leading to increased term deposit product subscriptions.

As a freelance data scientist, I have worked on a variety of projects, collaborating with clients to preprocess data and develop machine learning algorithms. Through my work, I have helped clients overcome challenges in their data science projects and achieve their desired outcomes. With a deep understanding of data cleaning and preprocessing techniques, as well as expertise in a range of machine learning algorithms, I have consistently delivered high-quality results on time and within budget. My experience as a freelancer has honed my ability to communicate effectively with clients and adapt to their unique project requirements, enabling me to deliver tailored solutions that meet their specific needs.Projects:• AI Chatbot: Developed a chatbot using NLP and ML techniques, training RNN & GRU models on film discussion data. Achieved 70% accuracy through hyperparameter tuning, collaborating in a SCRUM team of 4 for successful project delivery.• Object Detection: Implemented real-time object detection using CNN and OpenCV for image analytics, showcasing deep learning and computer vision expertise. Achieved 85% accuracy in identification.• X-ray Analysis: Collaborated with healthcare professionals to create a predictive model CNN to analyze chest X-ray images. Enhanced diagnostic capabilities and demonstrated expertise in medical image analysis.• Social Networking: Launched a secure social networking site, managing user data effectively. Implemented MySQL for registration, blogs, and security, developing a robust web-based system with HTML and PHP, safeguarding against SQL injection.