As a Data Scientist at Rapido, I leverage my analytical and technical skills to provide data-driven solutions for various business problems in different domains. I have built and deployed ML models using XGBoost, Python, and other tools to optimize the performance and efficiency of Rapido's services. I have also contributed to the development of dynamic dashboards and reports to communicate insights and recommendations to stakeholders. Prior to joining Rapido, I worked as an Associate Data Scientist at Axtria, where I consulted one of America's top 10 pharmaceutical companies on sales, marketing, and patient analytics for a blood cancer drug. I also supported a major healthcare company's analytics team by assessing the impact of COVID-19 on their brand sales using regression techniques. I hold a dual degree in Chemical Engineering and Economics from BITS Pilani, where I completed several projects and courses on Data Science and Machine Learning. I am an inquisitive and passionate learner, always eager to explore new opportunities and challenges in the field of Data Science and Machine Learning.