🚀 Machine Learning Engineer | Data Scientist | Researcher 🚀🔹 WIth experience of over 3 years in data science domain, I have driven innovation as a machine learning engineer and a researcher. At Gentherm, I led initiatives to develop robust cloud data infrastructure in Azure and leveraged AI to build smart thermal prototype products. Skilled in developing ETL pipelines using Azure Data Factory and machine learning pipelines using Azure ML Studio and ML Flow. 🔹 Previous roles include Machine Learning Intern at X2 Analytics, where I formulated NLP and ML techniques for data accuracy enhancement, and Machine Learning Research Assistant at the University of South Florida, where I specialized in deep learning for robotics, architecturing advanced ML models and distributed computing.🔹 Specializing in a wide range of ML algorithms, including neural networks, reinforcement learning, regression, clustering, and computer vision. Proficient in Python, C++, and other popular programming languages, as well as programming tools such as VS code and Jupyter notebook.🔹 Experienced in working with machine learning frameworks like scikit-learn, TensorFlow, and PyTorch, as well as cloud computing platforms such as Microsoft Azure. Expertise includes data preprocessing, feature engineering, and data visualization leveraging Power BI and Tableau.🎓 Graduated with a Master's degree in Computer Science from the University of South Florida, with a 3.95 GPA. Completed a thesis on Robotics and Deep Learning, gaining a strong foundation in computer science and machine learning.🌟 Passionate about advancing to a role as a Machine Learning Scientist, where I can work on cutting-edge technologies and develop innovative solutions. Committed to staying updated with the latest advancements in the field and eager to take on new challenges. Open to relocation.