About

As a Decision Scientist at Trell, Somrita Das brings over 6 years of experience in the field of data science and business analytics. She has a strong background in research, SQL, Python, and machine learning, and has worked with various technologies such as Random Forest, Neural Networks, Naive Bayes, MySQL, and NoSQL. Somrita began her career as a Senior Associate at Amazon, where she gained experience in data analysis and market research. She then moved on to Avail Finance as a Senior Business Analyst, where she was responsible for developing and implementing data-driven strategies to improve business performance. Somrita holds a Post Graduate Diploma in Data Science and Business Analytics from Great Lakes Institute of Management, where she specialized in machine learning and data analysis. She has also been recognized as a Research Scientist for her contributions to the field of data science. Throughout her career, Somrita has demonstrated her ability to analyze complex data sets and provide actionable insights to drive business growth. She is passionate about using data to solve real-world problems and is committed to developing innovative solutions that deliver tangible results. As a Decision Scientist at Trell, Somrita is responsible for developing and implementing data-driven strategies that support business objectives. She works closely with cross-functional teams to identify opportunities for optimization and growth, and is responsible for analyzing large data sets to provide insights that inform decision-making. Overall, Somrita is a highly skilled data scientist with a proven track record of success in the field. She is passionate about using data to drive business growth and is committed to staying on the cutting edge of emerging technologies and techniques in the field of data science.