Chandrashila Chattopadhyay
Senior Data Engineer @CVS Health
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WORK HISTORY
Senior Data Engineer @CVS Health
NY, US
Developed production ready ML pipelines for enhancing forecast accuracy of pricing models- Worked on large datasets (with over 30 million claims and 300+ data attributes) in multi cloud environments (Azure, Google Cloud Platform) to enable data ingestion pipelines, forecasting models for PBM clients.
EDUCATION
University of Connecticut
Master of Science - MS, Business Analytics
Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT
B.Tech, Instrumentation and Control Engineering
ABOUT CHANDRASHILA CHATTOPADHYAY
Data Analytics professional with 10+ years of experience in ML, data engineering workstreams and business process modelling domains in Healthcare, Insurance and Financial service industries. Proficient in comprehending data, enhancing business processes using SQL and analytical tools such as BigQuery, Azure Databricks, Apache Spark, Hadoop and TensorFlow. In my current role, I have successfully delivered data engineering and ML projects collaborating with multiple Product teams (Care Management, Underwriting, PBM Marketing Analytics) and business stakeholders which involved understanding data attributes, framing machine learning problems, feature engineering, deploying production ready models and automating model monitoring. Additionally, my responsibilities have included collaborating with cross-functional data science teams to design data workflows for ensuring seamless integration of machine learning solutions into multi cloud production environments (Azure and Google Cloud Platform). I am passionate about developing data driven strategies by diving deep into quantitative analysis to understand future business needs and enhancing operating processes to solve complex business problems.My strong inclination towards analytics with a continuous effort to help managers make significant business decisions led me to pursue the Master of Science in Business Analytics and Project Management.My competencies are broad and deep including Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Data Visualization, Business Intelligence, Business Analysis, Machine learning, Statistics, Data Mining, Multiple regression, Logistic Regression, Decision Trees, Random Forests, KNN, Naïve Bayes, Neural networks, Principal Component Analysis, K-means clustering, Text Mining, Market Basket Analysis.In addition to full range of competencies I also possess a large array of Analytical & Project Management skills utilizing technical tools and applications including Tableau, R, Python, SQL Developer, SAS JMP, SAS Studio, SAS Time Series Forecasting System, SAS Text Mining, Excel/VBA, MS Project, Crystal Ball, Gantt Chart, MS PowerPoint.You may contact me @ 86••••••84 or email @r••••••@gmail.com
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