As a dedicated Data Scientist, I specialize in harnessing the power of machine learning, data mining, and Python to revolutionize agent-caller pairing strategies for clients, ultimately driving remarkable conversion rates and substantial revenue growth. My expertise extends to refactoring modeling pipelines using object-oriented programming principles, which has resulted in an impressive 10x enhancement in runtime performance. Additionally, I introduced innovative LightGBM clustering techniques to establish caller clusters, thereby significantly enhancing operational efficiency and elevating customer satisfaction levels. My proficiency extends to leveraging FastAPI to develop seamless APIs that seamlessly integrate with our AI framework, enabling efficient client communication and facilitating the execution of the entire AI pipeline.Currently pursuing my Master of Science in Computer Science at the Institute of Business Administration, I am committed to further expanding my knowledge and skills in AI, NLP, Software Engineering, Advanced Analytics, and Software Project Management.With prior experience as a Data Scientist at Seeloz and a Machine Learning Engineer at AI Systems, I have collaborated within dynamic teams to optimize inventory levels, demand forecasting, and supply chain operations for international clients across diverse sectors. Leveraging cutting-edge models and tools including LSTM, XGBoost, deep reinforcement learning, and process mining (utilizing Celonis), I have achieved remarkable outcomes such as a 25% reduction in overall inventory, a 90% forecast accuracy at SKU level, and a remarkable 60% reduction in turnaround time.Driven by a passion for unraveling complex business challenges through data science, I am always eager to connect with like-minded professionals who share my enthusiasm for innovation and problem-solving. Let's connect and explore potential opportunities for collaboration and growth.