About

Soumik Chatterjee is an experienced data scientist with over 8 years of relevant experience in the field. He is currently working at GoTo Group as a Data Scientist, where he applies his expertise in Machine Learning, Deep Learning, AI, NLP, Algorithm, Statistics, and Big Data to develop innovative solutions for the company. Prior to joining GoTo, Soumik worked at Gojek as a Data Scientist and at Target as a Lead Data Scientist. During his time at these companies, he gained valuable experience in data analysis, modeling, and visualization, and developed a deep understanding of the data science ecosystem. Soumik holds a Master of Arts (M.A.) in Statistics from the University of Michigan, where he specialized in Statistics. He also holds a Master of Science (M.Sc) in Statistics from the Indian Institute of Technology, Kanpur, and a Bachelor of Science (B.Sc.) in Statistics from St. Xavier's College. Soumik is highly skilled in a variety of programming languages and technologies, including Python, SQL, AWS, XGBoost, Random Forest, Keras, CNN, Spark, Scikit, Pandas, MySQL, Hadoop, Web, Apache Hive, and more. He is also experienced in conducting research, developing NLP models, and applying deep learning techniques to solve complex problems. Overall, Soumik is a highly skilled data scientist with a proven track record of success in the field. He is passionate about using data to drive business outcomes and is always looking for new and innovative ways to apply his skills and expertise.