May 2022 – Oct 2022 · 5 mos

May 2021 – May 2022 · 1 yr · Lexington, Kentucky, United States

• Working with Analytics team at UKY to cater the need of College of Arts & Science with respect to creating and maintaining data models in SAP HANA, data model optimization etc.,

Oct 2019 – Oct 2020 · 1 yr · Greater Bengaluru Area

• Reduced the time taken to find a vehicle by creating automated recommendation and allocation engine thereby reducing it by 3 hours.
• Increased the user engagement for the product by analyzing the user flows

May 2018 – Sep 2019 · 1 yr 4 mos · Greater Bengaluru Area

• Online Advertising Platform - Analytical Help for Global Support team
• Ticket Forecasting – Efficient Resource Allocation and Planning for the Global Support team:
• Built a forecasting model using Linear Regression, ARIMA and ARIMAX was built in R to forecast
• the tickets at monthly basis (~85% accuracy)
• Provided E2E Automation of the prediction methodology using R thereby enabling easy
• maintenance for the clients.
• Cloud Migration – To reduce the system maintenance time and for improved data storage capacity:
• Improved the rigidness of the existing system by migrating the On- premise Infrastructure to
• Azure Cloud using ADLA and ADLS. Enabled the data refresh by scheduling the activities using
• Azure Data factory v2.
• U.S Home Improvement Industry – Email Marketing team
• Email Marketing Performance Analysis:
• Helped the CRM team to optimize the send time of different trigger emails by analyzing the customer behavior to enhance the engagement and productivity of the emails.
• Audience/ Logic Testing for email campaigns:
• Built a solution design framework, performed EDAs to validate the existing logic for its relevance
• and recommended data driven changes to the existing logic, hence resulting into better
• engagement and productivity.
• Pitched to incorporate the browsed data to an email program by increasing the click rate by 5%
• and revenue by 3%

Sep 2016 – Apr 2018 · 1 yr 7 mos · Greater Bengaluru Area

• Unified Reporting – Reporting framework to correlate ticketing and revenue data for TAM team:
• Created a Power BI framework used by the Senior Managers to understand the relationship between
• ticketing and revenue information from different sources.
• Provided E2E Automation of the report refresh using Azure Data Factory thereby reducing manual
• effort and improved reliability of the system.
• Anomaly Detection - Framework to detect outliers and help analyze the root cause:
• In order to detect the outliers and analyze the root cause proactively, built a rule based and time
• series-based framework using R, SSMS and Power BI