Data Science and Machine Learning professional with 2 years of experience in utilizing statistical techniques, machine learning, and data visualization to extract insights and solve real-world problems. Skilled in Python, R, SQL, and various machine learning libraries. Passionate about finding insights from data and utilizing them to drive business decisions. Familiar with MLOps processes and tools such as Git, Docker, and Kubernetes. Strong background in computer science and mathematics. Proven experience in AWS (Amazon Web Services) for building and deploying ML models. Experienced at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver business. Passionate about leveraging data to drive business decisions and create a positive impact, and eager to continue learning and expanding my skill set in the field. Looking for opportunities to work with a team of like-minded professionals and continuously grow my skills and knowledge in the field of data science and machine learning. --------------------------------------------- Projects --------------------------------------------------- Refrigeration Failure Prediction  Applied loss functions and variance explanation techniques to compare performance metrics.  Modeled predictions with feature selection algorithms.  performing data analysis and finding patterns in time series data, extracting features. Developing Solutions for Employee Retention Management  Compiled, cleaned, and manipulated data for proper handling.  Tested and validated models for accuracy of predictions in outcomes of interest.  Generated polished visualizations to share the results of data analysis.