Natwar Krishna Koneru

I have one year of experience in a mobile retail company Lot Mobiles as a Data Scientist where i have

• Developed a model using Deep SORT to collect footfall data with a precision of 90% and posted data to the footfall table using API. 

• Measured Staffing requirements by querying multiple tables using SQL joins and visualizing footfall data in tableau, collaborated with the HR team to perform GAP analysis, and reduced 10% of staff in a few stores thereby increasing store profit by 2%. 

• Introduced new KPI related to footfall to an existing dashboard for directors to reduce 2+ hours/week to analyze conversion rate. 

• Collected competitor store location data using web scraping (Beautiful Soup) and visualized the data in Tableau, saving 10+ hours spent on manual collection. 

• Applied XGboost classifier to predict whether the new store location is feasible or not thereby reducing the risk of starting a new store to 15%.

I am pursuing a master's degree in Management Sciences and Quantitative Methods, Data Science at The University of Texas at Dallas, I will be completing the master's degree in December 2022,

Relevant Coursework: 

Advanced Statistics for Data Science; Database Foundations for Business Analytics; RPA; Business Analytics with R; Programming for Data Science; Prescriptive Analytics; Predictive Analytics Using SAS