About

Soumojit is an experienced professional in the fields of pricing, marketing, products, and assortment. He has a functional skill set in machine learning, including supervised techniques such as Xgboost, RF, LightGBM, and CatBoost, as well as time-series techniques like SARIMAX, ARIMA, and Prophet. In addition, he has experience with unsupervised machine learning techniques such as PCA, K-means, K-medoid, K-mode, and Apriori Algorithm. He is also proficient in optimization tools such as Python, Pyspark, R, and SQL. Currently, Soumojit is working as a Viva Examiner on Machine Learning Techniques at the Indian Institute of Technology, where he conducts viva examinations for Bachelor of Science in Programming and Data Science students. He has also worked as a Senior Data Scientist at Walmart and as a Lead Data Scientist at Diageo in the past. Soumojit holds an AMPBA degree in Data Science from the Indian School of Business, where he focused on data science. He also holds a Bachelor's degree in Computer Science from the Heritage Institute of Technology. With 9.36 years of relevant experience, Soumojit has developed a strong tech stack that includes ML, Python, XGBoost, Data Scientist, SQL, NLP, Research Scientist, Pandas, and test. He is a skilled professional with a passion for using data to drive business decisions and improve processes.