Garvit Patel Email & Phone Number

San Francisco, California, US

April 2021 - Present Uber Eats, Ads (Building ads platform for UberEats merchants from Scratch - currently at $600MM+ ARR) Uber Eats, Other 0 to 1 betsMarch 2020 - April 2021 Uber Eats, Eater product growth (New users incentives, Referrals, Riders to Eaters, Storefront Redesign)

San Francisco, California, US

3rd member of the data team (Data science and engineering)Worked on a broad range of things including scooter deployment optimization algorithm, Uber and google maps integration, data engineering, exprimentation etc.

Calabasas, CA, US

• Applied Markov chains and clustering algorithms to track customer journey and perform customer segmentation on e-commerce website’s data to reduce churn rate
• Created PostgreSQL database to perform data transformation and feature engineering on 1 TB of click-stream data
• Prepared multiple dashboards to statistically compare KPIs for performance of the retailer's website and overall business

Toronto, Ontario, CA

• Worked in a team of data scientists dedicated towards building prediction algorithms for sales and inventory management of different products. Role:
• Built a R shiny app (1500 line of Code) to automate post prediction analysis and application of business rules of tires assortment that can reduce business process time by more than 50% (3 weeks reduction)
• Co-created a customized prediction algorithm that had more accuracy(78.8 %) than Boosted trees,Random Forest to predict demand growth and Life cycle of automobile parts using R and Knime
• Analyzed sales trends over different years and various car ages to perform clustering of cars with similar sales behavior using techniques like Dynamic Time Warping, ARIMA and Spline smoothing
• prepared monthly sales performance report in Tableau to distribute it to business team

West Lafayette, IN, US

• Performed statistical analysis in R to predict student retention rates, transition to major
• Created reports on college ranking comparisons, alumni distribution using R, Tableau and Excel

West Lafayette, IN, US

• Extended use of machine learning algorithms like Decision Tree, Random Forests and XGboost for multivariate applications (More than one response variables) for water usage demand prediction
• Performed multivariate predictive modeling on energy consumption to assess impact of socioeconomic, Building envelope and climate related factors

Ahmedabad, Gujarat, IN

• Worked with manufacturing and production team to provide analytical insights for process improvement
• Developed forecasting technique in R using ARIMA to predict demand for planning master production schedule
• Extracted and transformed data using SQL to perform analysis for strategic inventory positioning and demand-driven planning

• Performed FMEA analysis and Root cause analysis of the products for quality defects
• Implemented continuous performance measurement system to reduce non-value added time by 15% for assembling operations
• Used regression, design of experiments (DOE) and ANOVA to optimize process parameters and reduce their deviation
• Identified and implemented KPI’s of product performance for various customers’ needs

CH

• Collaborated with cross-functional teams to benchmark operations and assembly processes to implement lean manufacturing system
• Analyzed parts of road paver machine for improvements in design to decrease the production time and cost
• Co-designed the axle shaft of road paver machine to reduce the production time by 2 days

Master’S Degree, Industrial Engineering/Operations Research

Bachelor’S Degree, Engineering