I am a data enthusiast with two years of experience in data science and analysis, specializing in data collection, cleaning, and exploration. My expertise extends to ETL processes, statistical analysis, and data visualization using tools like Python, Power BI, and Tableau. I have hands-on experience with both supervised and unsupervised machine learning techniques, as well as deep learning and NLP technologies.During my internship at Meditech Innovations, I designed and maintained data systems, providing actionable insights that improved educational strategies. My academic projects include building a Product Recommendation Engine and conducting Intraday Time Series Analysis for financial markets.With a strong foundation in physics and a passion for turning data into meaningful insights, I am eager to contribute to data-driven decision-making in a dynamic organization.