I am a dedicated and passionate Data Science professional pursuing a Master of Science in Data Science at The University of Memphis, expected to graduate in December 2024. With hands-on experience in Machine Learning, Data Mining, and Statistical Learning, I’ve developed skills in Python, R, SQL, and various data visualization tools. I have a solid foundation in deep learning, predictive modeling, and data analysis, acquired through a range of academic projects and practical experience.I have hands-on experience with predictive modeling and deep learning, notably developing a House Price Prediction model using advanced regression techniques with 99.50% accuracy and a Rainfall Detection system utilizing LSTM models with 98.2% training accuracy. Additionally, I worked on an Object Detection system using the YOLO model, designed to assist visually impaired individuals through audio feedback, significantly improving detection speed and accuracy.Previously, I worked as an Associate Professional at DXC Technology, where I gained technical skills in Linux and SQL. My technical expertise includes Python, R, SQL, Java, TensorFlow, and data visualization tools like Tableau and Power BI. I am also skilled in various data science processes, from data wrangling and statistical modeling to deploying models in production environments.Driven by my curiosity and passion for leveraging data to solve real-world problems, I am actively seeking opportunities to contribute my skills to impactful projects in data science, machine learning, and business analytics.