About

Sonali Mittal is a highly skilled Data and Applied Scientist with more than 4 years of relevant experience in the field. She is currently working at Microsoft as a Data and Applied Scientist II. In her current role, Sonali is responsible for developing and implementing data science solutions that help organizations make better decisions. Before joining Microsoft, Sonali worked as a Data Science Associate at Goldman Sachs. In this role, she led two projects, one of which involved using NLP to tag bank payments to the responsible team by extracting information from the raw text. The other project involved building a classifier to predict the failure probability of a trade on its settlement date. Sonali's experience at Goldman Sachs allowed her to gain a deeper understanding of various classification algorithms and build a framework that reduces the time taken in running a new experiment as part of the model improvement process. Sonali holds a Bachelor of Technology degree from IIT Roorkee with a Major in Production & Industrial Engineering and a Minor in Mathematics. Her educational background has equipped her with the skills and knowledge to excel in her field. Sonali is proficient in several technologies, including Python, ML, NLP, Deep Learning, Random Forest, Hyperparameter, Spark, Hadoop, and Integration. She has also worked as a Research Scientist and Frontend Developer at Morgan Stanley. In summary, Sonali is a talented and experienced Data and Applied Scientist with a passion for developing innovative solutions that help organizations make better decisions. Her skills, experience, and educational background make her a valuable asset to any organization looking to leverage data science to drive business growth.