As a data scientist at Decimal Point Analytics, I leverage data to solve complex problems and drive business growth for clients across various domains like finance, banking, retail. I have more than two years of combined hands-on experience in data analysis, statistical analysis, inventory management analysis, machine learning, NLP, quantum computing, time series forecasting and data-driven decision-making, using tools such as Python, SQL, R, Tableau and Snowflake Cloud. I am passionate about exploring new and challenging opportunities to further enhance my skills and expertise in data science, and to contribute to the advancement of data-driven solutions in various industries.