As a data scientist at Fractal, I work with leading retail clients to deliver data-driven insights and solutions that optimize their marketing, pricing, and customer loyalty strategies. I leverage my skills in Python, PySpark, and SQL to analyze large-scale datasets, build predictive models, and generate actionable recommendations. I have over 4 years of experience in applied data science, having previously worked at dunnhumby, a global leader in customer data science. There, I contributed to multiple projects that enhanced the performance and value of various retail and FMCG brands. I hold a master's degree in technology from Netaji Subhas Institute of Technology, where I specialized in machine learning and data mining. I am passionate about solving complex business problems using data and analytics, and I constantly seek to learn new tools and techniques to improve my skills and deliver value to my clients.