Uday Bhasker Kondathasula
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Data Science Lead | Ex-Amazon | Ex-Uber | Scaling Business Growth via ML, AI & Analytics
Washington, United States
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Senior Data ScientistOpendoorAug 2025 - Current (1 year 3 months)>Architected a multimodal risk scoring pipeline combining LightGBM with a RAG-based retrieval layer, improving model precision by 3x and preventing via scalable inference design.
>Built autonomous AI agents and workflows functioning as “Junior Data Scientists” to execute end-to-end funnel telemetry and diagnostic deep-dives, reclaiming 8+ weekly high-level bandwidth and shifting team focus to strategic roadmap initiatives.
>Designed causal inference frameworks (Synthetic Control, Diff-in-Diff) to measure lifecycle marketing impact, generating $75M incremental GMV annually and directly reshaping multi-channel investment strategies.
>Led cross-functional- Lead Business Intelligence EngineerChewyAug 2024 - Aug 2025 (1 year 1 month)>Developed a CRM incrementality measurement framework using stratified global holdouts, revealing true lift was 25% higher than last-click attribution and driving enterprise-wide adoption of causal methods.
>Diagnosed experiment contamination via logistic regression and rebuilt a flawed gift card A/B test using synthetic control, uncovering a 10.6% repurchase lift and recovering multi-million-dollar revenue opportunities.
>Standardized experimentation governance and reporting pipelines, improving decision accuracy across marketing channels and enabling quarterly recalibration of customer behavior models.
>Partnered with data engineering to build s - Senior Business Intelligence EngineerAmazonSep 2022 - Aug 2024 (2 years)Led end-to-end data architecture for Rufus (Amazon’s GenAI product), defining event schemas and >building ETL pipelines to support analytics for a 1M+ user beta launch.
>Managed a team of 3 analysts to scale experimentation platforms, increasing engagement by 20% and conversion by 15% through A/B and multivariate testing on personalized features.
>Developed novel product friction metrics (Quick Dismissal Rate) and statistical diagnostics to detect AI misclassifications, reducing user abandonment by 20%.
>Closed critical instrumentation gaps and built source-of-truth dashboards, improving product decision velocity and analytics adoption across prod - Data Scientist - Core Analytics and Science (Rider Verticals)UberSep 2021 - Sep 2022 (1 year 1 month)>Collaborated with product, engineering, and marketing teams to design experiments for the ‘Reserve’ feature; used propensity score matching (PSM) to reduce selection bias, generating causal estimates that determined global rollout strategy and boosted feature engagement by ~12%.
>Diagnosed destination visibility as the root cause of a 10% month-over-month acceptance rate decline in Uber Reserve’s Hourly feature; designed a controlled geo-holdout experiment across non-overlapping markets, lifting acceptance rate by 12%, cutting cancellations by 7%, and increasing driver earnings by 8% — leading to worldwide launch.
>Conducted sensitivity analyses and robustness - Business Intelligence Engineer IIAmazonJun 2019 - Oct 2021 (2 years 5 months)Singe-handedly built and owned the end-to-end measurement, data pipelines and visualizations which showcased the engagement, financial and operational metrics for the biggest pilot (92M customers) rewards program of Kindle in A/B testing environment. This helped the team in successfully measuring the impact of the rewards program pre-launch
• Worked on developing features such as badges that engage e-reader customers, working alongside product managers, marketing managers, and software engineers to invent new marketing and feature ideas that spur customer engagement, prove they will work through data analysis, and ongoing analysis of customer usage
• Through Exploratory data analysis, worked on ideation and implementation of 5 pub - Business Intelligence EngineerAmazonJun 2017 - May 2019 (2 years)Responsible for providing reports/analysis to measure business performance, identify opportunity and improve process
1. Created the WBR deck for the ERMC operations team
2. Developed the account relations review process flow that helps identify potential denied parties using connections
3. Closely worked with configuration team and OPS managers to set a workflow for investigators to disclosure alerts which will miss SLA to improve SLA
4. Developed a preventative control for disabled addresses to enhance control
5. Developed a methodology, which lead to bulk close of ~ 12k investigations
6. Worked on creating multiple centralized dashboards - Graduate Teaching AssistantUniversity of Illinois at ChicagoAug 2016 - May 2017 (10 months)• Assist students in using appropriate software required for solving mathematical problems in Operations
• Assist faculty members with classroom instructions, exams, record keeping, and other miscellaneous projects.
• Obtain materials needed for classes, including texts and other materials. Responsible for grading as well - Data ScientistOla cabs ANI Technologies Pvt LtdApr 2015 - Jul 2016 (1 year 4 months)• Inquisitive analytics: Provided analytical insights that helped in assessing project feasibility before launching a new car-pooling product into the market
• Pre-post analysis: contributed to creation, testing and improvement of the carpooling algorithm by analyzing the efficiency in matching and suggesting the necessary modifications to the algorithmic logic
• Central dashboard: Created a central dashboard using Micro strategy tool to analyze the health of the business post-launch of the product and provide actionable insights
• Fraud analysis: Using logistic regression model, identified, and eliminated fraud drivers in the system, thereby saving Rs 1.2 Million per month, which was initially being earned by these drivers t - Data ScientistMu Sigma IncMay 2013 - Apr 2015 (2 years)Collaborated with a team of four analysts on web analytics to boost website engagement. Supported a major web experimentation project for a leading U.S. software company, implementing enhancements that increased user engagement. Devised data-driven strategies aligned with business goals, improving Paid Search campaign performance.
Conducted deep-dive and analyzed Microsoft (MSN/Bing) clickstream and campaign data to identify key engagement drivers; designed and executed A/B experiments to optimize website engagement and conversion funnels, resulting in a 5% boost in CTR, a 4% lift in conversion rates, and an 8% increase in overall engagement. - Decision ScientistMu Sigma IncMay 2013 - Mar 2015 (1 year 11 months)• Bid Optimization: Developed a heuristic approach, that helped advertisers on a renowned search engine reduce their monthly expenditure by an average of 37%, with a minimal impact on CTR, by suggesting the optimal bids to use on their ads
• Mobile adoption: Used random forest model to help the account managers of the second largest search engine in increasing mobile adoption rate on the platform by 14%
• Website Experimentation: With the help of a/b testing technique, could analyze and launch features with the potential to enhance user engagement on the web portal of the software giant in the united states
• Customer Segmentation analysis: Identified premium customers to be targeted by an online cab aggregator based on prior
Education
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- Master’s Degree, Business AnalyticsUniversity of Illinois ChicagoJan 2016 - Jan 2017 (1 year 1 month)The curriculum integrates knowledge and training on technical topics with business applications and functions, such as Operations, Finance and Marketing. to understand analytics strategy and practice in organizations. Various analytics-related business electives allow students to focus on specific business areas.
- Bachelor of Technology - BTech, EngineeringVisvesvaraya National Institute of TechnologyJun 2009 - May 2013 (4 years)
- Bachelor of Technology (B.Tech, EngineeringVisvesvaraya National Institute of TechnologyJan 2009 - Jan 2013 (4 years 1 month)
- SRMSRM
- Visvesvaraya National Institute of TechnologyVisvesvaraya National Institute of Technology
- Bachelor's Degree, ENGINEERINGVisvesvaraya National Institute of Technology
- Master of Science, Business AnalyticsUniversity of Illinois at ChicagoGained experience on statistical projects ranging from predictive modeling, clustering, time series modeling, visualization, and descriptive statistics.