Vivek Tummala Email & Phone Number

 Created a look alike model using logistic regression with interaction effects for a retail company to acquire new households who are predisposed to buying their products. The model captured 3.85 times more leads than a random targeting campaign Constructed a program in Python that collapsed the levels of categorical variables based on the reduction in Chi-square test between the nominal variable and the target thereby making it easy to include nominal variables with many levels in model Developed a process in R which compares targeted segments against a few hundred variables and produces a multi-tabbed Excel spreadsheet complete with comparative distributions Calculated market penetration at zip2 level & 80% footprint to identify market opportunities and identified target households who are likely utilize their services Developed, documented and published locally several tools and techniques which are now common practices  Created client ready presentations to include: objectives, methodology, results, executive summary and recommendations

Hyderabad Area, India

 Responsible for undertaking analytical projects to aid the marketing team in deploying resources in an effective manner. In charge of tracking the campaign performance and ensuring return on marketing dollar spent  Forecasted demand for RFID tags based on market trends and planned the product mix and the production schedule  Built a variety of product propensity models to support cross-sell program and marketing initiatives which resulted in customers having 3 products on average  Designed models to identify prospects who will respond to the marketing campaign thereby increasing the ROI of the campaign  Led the product team to select appropriate performance and quality metrics and monitored the same Built an ensemble model using decision trees and logistic regression to predict best targets for membership enrollment that yielded a response rate of 2.15% on a direct marketing campaign Leveraged R for data exploration, cleaning and modeling. Read data from SQL and examined for outliers and correlation which helped to remove unnecessary data and reduce data size by 5 percent

Mumbai Area, India

 In charge of statistical quality control, responsible for collecting data and maintaining production records in the database Performed process optimization based on the production data to develop optimal process parameters for production Conducted Hazard Analysis on the production vessels and machinery. Modified the SOP (Standard Operating Procedure) documents by incorporating the suggestions found in the analysis, resulting in 20% decrease in breakdowns Enhanced the plant performance by optimizing process parameters and implemented projects to reduce energy consumption ( team size 10 & timeline of 4 months), which resulted in savings of 2 tons of steam per hour, equivalent to $300k per annum Underwent the six-sigma certification and executed a six-sigma project to increase the efficiency of the process by 7% Collaborated with a cross functional team of 6 to implement risk mitigation steps in the decommissioning process that resulted in zero accidents

Master'S Degree, Operations Research

Bachelor'S Degree, Chemical Engineering