Dharmateja Chelamalasetty Email & Phone Number

Irving, TX, US

Dallas, TX, US

• Leading the design, implementation, and management of advanced Data + AI and Generative AI solutions, ensuring alignment with business goals. Oversee cross-functional teams, manage project timelines, and drive product.
• Copart Genie:Spear heading the Gen AI code assistant which generates/explains the code to improve the developer’s productivity.Integrating Applications to leverage/boost the performance with routing mechanism to.
• Real-time Anomaly Detection:Currently leading a team to conduct real-time data analysis for anomaly detection, such as identifying reductions in the number of assignments.
• AI-Powered Image Enhancement:Led the development of image services to remove backgrounds and enhance images, improving user experience by 20%.Led the automation of detecting poor quality in images, reducing turnover.
• Smart Dispatch:Led in Implementing a ranking algorithm to recommend vendors for specific vehicles and vice versa, based on cost and historical trip data, resulting in $1 savings per CPC and a 50% reduction in trip/work.
• Copart Data Platform:Migrated MemSQL to Google BigQuery, providing users with a unified source of truth for both transactional and analytical purposes.

Dallas, TX, US

• Retrained Deep Neural Network image recognition models for vehicle damage scoring on four corners using CNN and transfer learning, achieving an AUC of 0.89, achieving 20% improvement.
• Implemented augmentation, Hyper opt, callbacks, class weights, and gradient clipping techniques to achieve a 30% reduction in overall model loss. Optimized model performance through quantization and parallelization.
• Enhanced OTL classification model using GBM by integrating scores from Deep NN Model, resulting a 6% AUC improvement.
• Implemented new Pro-quote model for the DE team, utilizing GBM to anticipate the price quotation (Estimated Sale Price in Auction) for a Lot, and able to achieve Mean cross-validation score to 88%, with RMSE 1232.25.
• Created Tableau dashboards to offer insights into PQ and Damage score models.

Richardson, Texas, US

• Teaching Assistant for MIS 6326: Data Management, guided over 190 students in Data Management using SQL
• Supported the professor with class experiment setup, examination proctoring, and assignment grading

Bengaluru, Karnataka, IN

• As ML Specialist performed complex research and analysis for launching/Enhancing ML models for Ads & Video Recommendation Systems from HQ to Asia Pacific Region
• Analyzed models to predict pCTR for different Ad Types: Banner, Native Ads, Interstitial Ads, IGA ads, Reward Video.
• Developed models for different Video types: Short Video, Similar Video, Long Video, TV
• Models Used: FLTR, LR, Decision Tree Bucketing, SVD, CF, Cosine Similarity, Rule Based, Popularity Based.Key achievements:
• Implemented successfully and launched Ads Recommendation Systems in Asia Pacific region for all ad types and provided ads recommendation for 4 million users per day.As Data Analyst Performed complex research and.
• Data Extracted and transformed into multiple layers from ODS, DIM, DW and ADS Layers.

Bengaluru, Karnataka, IN

• As Solution architect for Online Charging System (Prepaid billing System),Convergent Billing System (Post Paid Billing System),Wireless Intelligent network and Fixed Intelligent networks for Telecom Service Providers.
• Defined and documented business requirements in document (BRD) containing details such High-level introduction, Scope, Business requirements (including As-IS and To-Be system), Process flow diagram, Use Cases.Key.
• Defined and provided BRD/FRS for about more than 100 customized versions and successfully involved in 50 migration projects during this tenure.

Master Of Science In Business Analytics, Data Science

Pgp - Machine Learning, Information Technology

Bachelors, Electrical, Electronics And Communications Engineering