About

Prathamesh Agarwal is a highly skilled data scientist with expertise in machine learning, software engineering, and research. He is currently working as a Data Scientist at Swiggy, where he is responsible for developing and implementing machine learning models to improve the company's operations and customer experience. Prathamesh has a diverse background, having worked in different roles and industries. He has previously worked as a Software Engineer in Data Science at Tekion, where he developed a machine learning model to help clients identify important drivers to key performance indicators and the business impact caused by them. He has also worked as an Algorithmic Trading Developer at Trinity Capital, where he was responsible for using different technical indicators of the stocks to create triggers for buying and selling based on target profit and stop-loss. He optimized these strategies using machine learning and tools such as AmiBroker, a stock trading software, and C++/Python. Prathamesh has a Bachelor of Technology degree in Computer Science from Vellore Institute of Technology, where he graduated in 2021. He is proficient in various technologies, including Data Science, Research Science, ML, Software Engineering, and Python. He has 2.19 years of relevant experience in the field of data science. Prathamesh is a highly motivated and detail-oriented individual with excellent problem-solving skills. He is passionate about using data to drive business decisions and is always eager to learn new technologies and techniques to improve his skills. With his diverse background and expertise, Prathamesh is a valuable asset to any organization looking to leverage data to improve their operations and bottom line.