Currently, I am responsible for data engineering and data science in the Central Data Office organization at GenDigital. Currently, I have been working on three cloud integration and migration projects: AWS, Azure, and GCP. I am currently in charge of the Product Genie data ingestion and reporting stack, and I am also conducting churn prediction modeling and marketing analytics to provide valuable insights to executive leaders and stakeholders on how to make data-driven decisions. I have a… Show more Currently, I am responsible for data engineering and data science in the Central Data Office organization at GenDigital. Currently, I have been working on three cloud integration and migration projects: AWS, Azure, and GCP. I am currently in charge of the Product Genie data ingestion and reporting stack, and I am also conducting churn prediction modeling and marketing analytics to provide valuable insights to executive leaders and stakeholders on how to make data-driven decisions. I have a strong knowledge of SQL, Python, and PySpark. I had a positive project experience with CPRA and reconciliation for Norton Products.I had a positive experience with the AWS-AZure-GCP migration and its services. With all three cloud services, I had a strong knowledge on building data engineering pipelines and data analytics projects. Show less

During my internship as a data science student, I was responsible for data analytics and business modeling. I was also in charge of overseeing business performance and developing the experimental design for product analytics. Work on AWS, PySpark, and SQL to estimate and calculate customer retention rates by tenure. Using Bayesian statistics, build and simulate a model for price elasticity of demand. I had a positive experience with the PYMC3 library in Python. Using dynamic programming in… Show more During my internship as a data science student, I was responsible for data analytics and business modeling. I was also in charge of overseeing business performance and developing the experimental design for product analytics. Work on AWS, PySpark, and SQL to estimate and calculate customer retention rates by tenure. Using Bayesian statistics, build and simulate a model for price elasticity of demand. I had a positive experience with the PYMC3 library in Python. Using dynamic programming in Python, I am working on reinforcement learning to create real-time decision-making agents for price and advertising demand curve analysis. I am in charge of optimizing prices and calculating the customer lifetime value for the subscription business. I had a positive experience with Azure Databricks. I utilized Tableau to visualize business reports. I was responsible for designing and developing a strategy to optimize pricing using the Buynomics tool. Show less