About

Swastik Dash is a highly experienced data scientist currently working as a Sr. Data Scientist at ADP. With a career spanning over 7 years, Swastik has successfully delivered multiple data science projects focused on classification, decision analysis, hypothesis testing, correlation analysis, recommendation modelling, time series, text mining and classification, information extraction, and NLP. He has also built scalable and integrated models for automated testing. Swastik's expertise lies in data science product development, engineering, and research in core HCM areas such as human capital management and people analytics. He has worked on projects related to turnover probability, overtime analysis, call log analysis, performance analysis, and talent management systems. Swastik has also worked on various miscellaneous classification models and assignments, including performance classification, business function classification, and time-based data analysis. Swastik is fluent in R, Python (Jupyter Notebooks), Hadoop, and h2o scalable ML testing. He is also familiar with Apache Spark and shell scripting. Swastik has previously worked as a Summer Analyst at Emami, where he worked on risk assessment strategies in corporate finance. He has also worked as a Summer Intern at Halliburton, where he was a trainee at frac operation site and performed DFIT analysis. Swastik holds a Bachelor of Technology degree in Chemical Engineering from IIT. He has a diverse tech stack, including data scientist, research scientist, test, text classification, ML, sentiment analysis, data engineering, NLP, integration, product manager, AWS, recommendation system, and big data. Swastik's relevant experience is 7.44 years.