About

Vachan Anand is a highly skilled and accomplished Consultant at Servian with a strong background in Data Science, Data Engineering, and Cloud Technology. He is also the Founder of a non-profit organization and has a demonstrated history of working in the Financial Services industry. Vachan holds a Master's degree in Data Science from Monash University, where he honed his expertise in the field. With nearly three years of relevant experience, Vachan has worked in various roles, including Associate Consultant at Servian and Quantitative Analyst at Snap Research Labs. At Snap Research Labs, he was involved in several projects, including the development and deployment of an artificial intelligence-powered pairs trading algorithm to automate cryptocurrency trading on the cloud. He also worked with a cross-functional agile team to build, train, and deploy an artificial intelligence-powered high-frequency scalping algorithm for momentum trading. Additionally, Vachan autonomously created a backtester on Python and developed a dashboard to help other traders leverage machine learning to improve their trading portfolio. Vachan's skill set includes Python, SQL, AWS, Flask, and ETL, among others. He is also proficient in Data Engineering, Data Science, Research Science, Neural Networks, and Machine Learning. Vachan's strong analytical and problem-solving skills have enabled him to deliver exceptional results in his projects. Vachan is a strong business development professional with a passion for leveraging technology to solve complex problems. He is an excellent communicator and collaborator, having worked with cross-functional teams in his previous roles. Vachan is a quick learner and is always eager to expand his skill set to stay up-to-date with the latest trends and technologies in the industry.