Venkata K Email & Phone Number

Texas, United States

Oklahoma City, Oklahoma, US

Dallas, Texas, US

Upon Cinven's acquisition of Taxact from Blucora, I moved to the Taxact team and began assisting both the Product and Customer Success teams by implementing data-driven strategies.

Dallas, Texas, US

Basking Ridge, NJ, US

Cross-Channel Analytics- Customer Experience (CX) As a part of Customer Experience (CX) organization, I worked on new device promos and developed a machine learning model to reduce customer care calls with an average savings of $ 3.8M/Year Performed descriptive analytics on NPS and Quality Experience Score (QES) metrics to identify pain points in.

Basking Ridge, NJ, US

• Built machine learning applications to predict the contingencies for the installation of Verizon data services.Libraries used: R (stringr, zipcode, dplyr, ggplot, randomForest, H2o)
• Associated with ‘Robotic Process Automation and Machine Learning’ team for predicting end user contingencies to increase the data service installations by the due date from the existing 95% to 100%.
• Optimized the random forest algorithm to achieve an accuracy of 79%, cutting the costs by 8%.
• Worked right from data cleaning to deploying the code into production building rest API services

Atlanta, Georgia, US

• Responsible for creating decision rules that can help detect optimum changepoints in a time series data of water pressure in locomotivesLibraries used: R (dplyr, ggplot, lubridate, changepoint, Anomaly Detection)
• Associated with ‘Data Science and Advanced Analytics’ team for predictive maintenance of locomotives
• Introduced to change point detection and was provided with an open-ended project opportunity aimed to develop and measure out-of-the-box analytical thinking and presentation capabilities
• Analyzed time series data of different locomotives to identify the parameters governing locomotive breakdown due to water loss

Tampa, Florida, US

• Helped undergraduates understand Milling, Lathe machines and setting up 3D printing in the manufacturing process lab.
• Assisted professor in grading lab assignments and projects.
• Assisted students with their final projects on designing 3D printed equipment that can support surgeons to operate on a finger that's cut.

• Objective: To develop a predictive model that captures the micro to macro cracking transformation of pavement fatigueLibraries used: R (dplyr, ggplot, RandomForest)
• Developed functions to calculate the damage occurred from varying loads on the pavement
• Analyzing the stiffness dip from microcracking to macrocracking on pavement data to model the Stiffness reduction curve

Tampa, FL, US

• Built predictive models that categorize procurement requests into High/Medium/Low complexity using Text Mining and Machine learning modelsLibraries used: R (tm, dplyr, ggplot)
• Generated wordclouds and analyzed customer requests to identify high priority, medium, and low priority requests
• Extracted key insights from unstructured procurement requests data to generate new information using the high priority wordclouds and executed multinomial classification models

Tampa, Florida, US

• Assisting students in Advanced Lean Six Sigma course with their class projects
• Currently handling 3 projects with regards to achieving milestones, progress, Decision-making process applying lean six sigma techniques for business optimization. (Projects: Raymond James, Florida Hospital, Johnson.

• Inspected various construction activities as per client requirement (Chennai Metro Rail Limited-CMRL-UAA05)
• Carried out root cause analysis for concrete wastage and saved 14000 USD in the span of 6 months
• Worked in Quality Assurance and Control department to predict future problems associated with the quality
• Analyzed historical Quality data for trends in drawbacks and predicted the probable causes of project delays.

Conducted a feasibility study to reduce paper bills and create online payment process through collection of relevant data regarding various influencing factors in the present market, and developed the product to fit in the market that has the maximum potential

Master’S Degree, Engineering/Industrial Management

Bachelor’S Degree, Civil Engineering

Education record