Sayan Chatterjee

Background

About Sayan Chatterjee

Highly efficient Data Analyst/Data Scientist with 7 years of experience in Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization, Web Scraping. Adept in statistical programming languages like Python and R. • Proficient in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, features scaling, features engineering, statistical modeling (decision trees, regression models, clustering), dimensionality reduction using Principal Component Analysis and Factor Analysis, testing and data visualization. • Proficient in Machine Learning algorithm and Predictive Modeling including Regression Models, Decision Tree, Random Forests, Sentiment Analysis, Naive Bayes Classifier, SVM, Ensemble Models. • Knowledge on Natural Language Processing (NLP) algorithm and Text Mining. • Strong experience with Python(2x,3.x) to develop analytic models and solutions. • Proficient in data visualization tools such as Tableau, Python Matplotlib, R to create visually powerful and actionable interactive reports. • Solid working experience with SQL including MySQL and MS SQL Server. Strongly skilled in writing stored procedures, triggers and complex queries containing multiple joins, subqueries and window functions to create reports and perform analysis. • Worked on creating dashboards in Tableau for reporting and data visualization, and guided business decision - making for multiple stakeholders. • Proficient in Medicare and Confidential billing and worked with providers and Medicare and Medicaid entities to validate the EDI transaction sets or internet portals. • Solid experience working with cloud platforms such as AWS, Azure and Google Cloud. • Experienced in Agile methodology and SCRUM process. • Detail-oriented and self-starter with strong communications skills presenting results of analysis to both technical and nontechnical audiences and experience collaborating within cross-functional teams. • Strong time management skills to manage work plans, handle tight deadlines and multiple projects.