As a seasoned Senior Data Scientist at Sanofi, I bring over seven years of comprehensive experience in the realms of Data Science, Machine Learning, Deep Learning, Natural Language Processing (NLP), and Time Series Forecasting. My expertise spans across various domains including Healthcare, Pharmaceuticals, and the Hotel industry, showcasing a versatile and robust skill set. My professional journey in data science began at Genpact, where I initially developed my analytical skills and gained invaluable experience in handling large datasets and complex analyses. This foundational phase was instrumental in shaping my approach to data science. Following my tenure at Genpact, I joined Novartis, where I further honed my skills in data analytics and began to take on more sophisticated projects. At Novartis, I not only enhanced my technical capabilities but also embarked on team building and upskilling initiatives, contributing to a culture of innovation and continuous improvement. Currently, at Sanofi, I have successfully led numerous projects from inception to completion—ranging from data collection and preprocessing to building sophisticated models and deploying them into production. My role is not limited to the technical facets of data science; it also encompasses strategic team building and upskilling activities, fostering a culture of continuous learning and innovation within the team. I possess a profound command over a broad array of technical tools and platforms, including Python, SQL, VBA, Databricks, Snowflake, Visual Studio Code, and cloud services provided by AWS and Azure. This technical proficiency, combined with a strategic mindset, enables me to navigate and leverage the complexities of big data, drive decision-making, and achieve operational excellence. I am passionate about tackling new challenges and am constantly seeking opportunities to apply my data science skills to solve complex problems, deliver actionable insights, and create substantial value for my organization and the broader community.