Venkatesh Durgumahanthi

Client : Oklahoma Gas & Electric

• Have been working on a Proof of concept for validating the Meter and Transformer Mapping across all customers to reduce truck roll testing.
• Had discussions with various business and data teams to design a logic based on voltage Correlation between meters, Geo spatial data, Outage information and Meter Specifications

Client : Metlife

• Built predictive models to predict the possible claim amount for a new customer through Regression and classification approaches (based on probability of raising a claim) replacing a traditional approach using Azure Databricks and Azure Data Factory
• A custom ML solution was developed based on Linear Regression, Logistic Regression, Decision Tree and Random Forest to determine the possibility of raising claim which is used to calculate the potential claim claim amount
• Worked in an agile methodology adapting to time commitments. Active collaboration with business, data and engineering teams to design and develop the solution

Stakeholder: Retail and Supply Chain teams

• Built a forecasting model to predict the fuel sales from retail stations by also considering various elements impacting sales in South Africa market resulting in a value benefit of $ 2 Million
• Have been working on building various dashboards to provide a 360° view of the supply chain
• Built a predictive model to gain insight into the Customer Life Time Value of Retail customers for Poland

Client: Sysco

• Built a recommender system Dashboard based on Collaborative filtering, Market Basket Analysis and RFM analysis and scaled the Recommender system prototype for the entire US market using AWS services