Neeraj Tadur Email & Phone Number

Las Vegas, Nevada, United States

Hyderabad, Telangana, India

▪ Conducted a Quasi-natural experiment and applied Difference-in-Differences method to estimate the impact of mandatory political identity disclosure on Reddit user behavior in terms of participation and discussion polarization▪ Implemented an inference model using GRU Autoencoder on SNLI corpus to measure the amount of contradiction and entailment between Reddit users▪ Developed a language vector model using word embeddings and LSTM to predict Reddit Users political ideology▪ Created Python scripts to extract political Ad’s from Facebook’s Ad library through API calls▪ Analyzed unstructured data from videos and images and ran entity based sentiment analysis to detect polarization▪ Conducted an experiment to estimate the impact of political advertising ban by Twitter on Facebook’s ecosystem in terms of variance in number of ads and polarization associated with content▪ Designed a framework and developed object detection models using OpenCV and TensorFlow to detect suspicious actions in an ATM

Greater Chicago Area

Chicago

Automate building feature detection using Image Recognition to reduce manual tagging costs for real estate developers Developed and trained convolutional neural network (CNN) Models using Keras for a real estate services firm to derive building features using satellite data Designed and Implemented AI techniques that reduced manual tagging costs by 80% Developed a methodology to isolate buildings of interest from background noise. Built a Hierarchical Clustering algorithm to create a bounding box around buildings in map images. Developed a regression model to calculate the size of buildings with an accuracy of 86%

Raleigh-Durham, North Carolina Area

Performed Data Analysis and implemented Machine Learning models to assist with Health Policy and Research Developed SQL/SAS queries against 100 TB of high dimensional Medicaid datasets to generate business insights Optimized query logic and designed data marts to improve reporting efficiency by 80% Fulfilled ad hoc legislative, enrollment and provider-related requests Analyzed and presented data to key stake holders for improving operational efficiency and forecast planning Implemented XG Boost algorithm in Python to predict dental treatment for children in their first 8 years of life. This led to 30% cost savings for Medicaid arising from children’s dental treatment Performed Association rule mining in R to understand the relationship between diseases and conditions that cause hospital readmission for Diabetes. This led to 20% cost savings for Medicaid arising from Diabetic Patients Constructed data sets to identify incidence of communicable diseases in different socioeconomic regions for the purpose of setting up screening centers to enable early detection. This reduced the Medicaid costs arising from STD’s by 40% Worked with several internal teams such as Beneficiary, Provider, Finance and Dental to co-ordinate various projects for the organization involving improvement in Business Processes and smoother flows Modeled data and assessed the dental provider participation in North Carolina, conducted provider outreach to establish a long-term relationship with local dental community Conducted several discovery sessions with the Stake holders to ensure a good understanding of Business Requirements Built a dashboard to track which providers have received Medicaid Claims payments by service type and county Built HEDIS dashboard to analyze utilization rates for various measures of care

Toledo, Ohio Area

▪Implemented Lean Manufacturing techniques to improve quality, reduce cost and ensure complete on time delivery▪ Provided leadership for problem resolution to facilitate fast improvements and improved working relationship with different stake holders▪ Improved manufacturing efficiency by analyzing and planning work flow, space requirements, and equipment layout▪ Evaluated manufacturing processes by designing and conducting research programs; applying knowledge of product design, assembly; soliciting observations from operators.▪ Presented improvement techniques and recommended work flow design modifications to Leadership team

Rockford, Illinois Area

 Implemented DMAIC methodology of Six Sigma to reduce repair cycle time by 65% in Hydraulics project  Engaged functional leaders and key stake holders in design of processes and procedures Identified defects and process variations using Minitab to implement sustainable improvements

Masters Of Science

Master'S Degree, Industrial Engineering