Kimi Gala is a highly skilled and experienced data scientist with over 5 years of experience in solving complex business problems using machine learning, predictive modeling, and statistics. She holds a Master's degree in Analytics from Georgia Tech, where she honed her skills in outlier detection, sales prediction, cost reduction, profitability maximization, and strategy consulting. She has worked with well-known companies such as Microsoft, The Home Depot, Citi, and Tata Consultancy Services. Throughout her career, she has demonstrated her expertise in programming technologies such as SQL, Python, R, and Scala, as well as tools such as MS Office, Tableau, and XLSTAT. Additionally, she has experience working with big data/cloud environments such as Google Cloud and Hadoop.

Kimi earned an MBA focused on finance from Sydenham Institute of Management Studies, Research, and Entrepreneurship Education and a Bachelor of Engineering in Information Technology from D.J. Sanghvi College of Engineering. Her diverse educational background has equipped her with a unique skill set, enabling her to approach problem-solving from multiple angles.

In addition to her technical abilities, Kimi is an excellent communicator and has a talent for building strong relationships with clients. She can convey complex ideas in an easily understandable manner and is always ready to go the extra mile to deliver the best results for her clients.