Ambitious data scientist in the making, currently pursuing a Master's in Data Science at Stony Brook University.Building on a strong foundation from my Bachelor's in Data Science (3.56/4 CGPA with Distinction), I've already made significant strides in the field through impactful internships and projects.At Mettler-Toledo, I fine-tuned Large Language Models for human-like comment generation, automated customer credit rep assignments, and also automated redundant processes saving 30 hours of manual processing time per month.During my tenure at Marcellus Investment Managers, I developed a Linear Regression model for impact cost predictions and engineered an ensemble of logistic regression models for forensic screening, improving fraud detection capabilities. My automation initiatives saved the analytics team approximately 10 hours weekly.Proficient in Python, SQL, and Java, I'm well-versed in tools like Excel, Tableau, and KNIME. My expertise spans Data Science, AI, Machine Learning, Deep Learning, NLP, and Cloud Computing.Beyond the data realm, I'm an avid sports enthusiast with an outgoing personality, bringing the same energy and teamwork from the playing field into collaborative data projects.Eager to connect with fellow data enthusiasts, innovators, and industry professionals. Let's explore how we can harness the power of data to shape the future!Reach out to me at 1842shubham@gmail.com or connect here on LinkedIn to discuss data science, potential collaborations, or just to chat about the latest in tech and sports!