Senior Manager
CurrentManage consumer abuse team, including payment abuse, promotion abuse, and credit/refund abuse team
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@doordash.com
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Yi Cai is listed as Data Scientist Senior Manager at DoorDash at DoorDash, a with 201 employees, based in Greater Seattle Area, United States. AeroLeads shows a work email signal at doordash.com and a matched LinkedIn profile for Yi Cai.
Yi Cai previously worked as Senior Manager at Doordash and Lead Data Scientist at Doordash. Yi Cai holds Master Of Science (M.S.), Statistics from University Of Illinois Urbana-Champaign.
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AeroLeads found 1 current-domain work email signal for Yi Cai. Compare company email patterns before reaching out.
Yi is a data scientist in DoorDash focusing on fraud prevention.Yi is also experienced in statistical sampling, including but not limited to sampling methodology, calculate optimal sample size, and perform statistical inference.Yi is familiar with cloud based platform and solutions, and has passed AWS Cloud Practitioner certification.
Listed skills include Sas Programming, R Programing, Soa Testing, Monte Carlo Simulation, and 2 others.
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A career timeline built from the work history available for this profile.
San Francisco, California, Us
Manage consumer abuse team, including payment abuse, promotion abuse, and credit/refund abuse team
San Francisco, California, Us
Working in Fraud team of DoorDash. Currently leading Consumer Identity and Promotion Abuse Prevention function. Led Dasher Identity and Account Security function prior to the current position.
Worldwide, Oo
Led engagement teams with various background, including data science, data analytics and technology background, to provide advisory services and deliver data-driven solutions Performed data mining and analysis on large transactional data to identify unusual behavior patterns and suspicious customers/transactions (e.g., money laundering activities) using various tools (e.g., SQL, R)Developed, validated, and implemented machine learning models (e.g., clustering model, gradient boosting model) to identify money-laundering and sanctions violation activities Designed performance monitoring methodologies for models and system operation, including identifying metrics/KPIs, risk tolerances/thresholds, and relevant procedures (e.g., issue management procedure)Developed and implemented various statistical sampling methodologies (e.g., stratified sampling, multi-stage sampling) and perform statistical inference (e.g., estimating confidence interval)Led an innovation team to develop robotic process automation (RPA) tools (e.g., data quality assessment tool, sanctions screening effectiveness testing tool) to improve the efficiency of testing process and manage relevant data processes and databaseDesigned and managed internal SQL databases to archive US sanctions lists using R and SQL, and develop a front-end tool for non-technical users to extract the data Developed and enhanced model and data policies and procedures, such as model governance framework and procedures, model performance monitoring procedure, and data governance procedure
London, Gb
Provided quantitative advisory service and work directly with clients in financial industry, covering major credit card companies, top consumer banks and investment banks. Participated in multiple engagements, including both model development and model validation, across different areas, e.g., CCAR models, pricing models, and anti-money laundering (AML) models. Led engagement team including assigning team priority, providing guidance, driving client meeting and reviewing deliverable during engagement.
Chicago, Il, Us
Managed the operational risk (e.g., default rate, customer acquisition cost, loan issue rate) of the loan products in US and UKPerformed A/B testing for model changes and implementation and provided suggestions to business owners based on the data analysisBuilt logistic regression and random forest models for loan underwriting, including credit risk (default rate) model and profitability rate score modelDeveloped models (e.g., gradient boosting model, random forest model) to optimize the post-default processes, including debt collection and sale processBuilt internal reporting system using R-shiny to track portfolio metrics and model performance
Built more than 20 functions and predicting models, including periodical detecting, multiple variable time series modelsDesigned SQL functions in R so that the model could work with the database smoothly
Armonk, New York, Ny, Us
Worked as consultant in IBM Global Business Service Department.Aided the department of ERP consulting for human resource of client, Huneng GroupCommunicated with more than 20 subsidiary corporations and assisted with SAP system development and operation to improve workflow efficiency
Assisted the industry analysis of groupon industry in ChinaCollected and analyzed data from clients and reported to the investment manager in the program of Tongjitang Medicine Co., Ltd
Cn
Contributed to the investment projects of the subway corporation of Nanjing Province and Hefei Province, including evaluating the risk and take on-the-spot investigation with clientsAttended the initial evaluating for the traveling development project in Hebei Province with on-the-spot investigation with clients
Participated in the annual audit of China Arts & Entertainment Group and its subsidiariesAttended the annual audit of the Theatre of Guangzhou, in Guangdong Province
Other employees you can reach at doordash.com. View company contacts for 201 employees →
Kendall Washington
Colleague at DoordashLos Angeles, California, United States
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Hannah Brooks
Colleague at DoordashStockton, California, United States
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Tyrell Frost
Colleague at DoordashOklahoma City, Oklahoma, United States
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Stephanie Moore
Colleague at DoordashMalibu, California, United States
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Brandon Pardo
Colleague at DoordashSan Jose, California, United States
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Sherri Insprucker
Colleague at DoordashZephyrhills, Florida, United States
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Pamela Black
Colleague at DoordashChicago, Illinois, United States
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KC
Karl Caguindagan
Colleague at DoordashNew York, United States
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Shehan Wijeyagoonewardane
Colleague at DoordashVancouver, British Columbia, Canada
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Zafirah Brown
Colleague at DoordashLas Vegas, Nevada, United States
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Quick answers generated from the profile data available on this page.
Yi Cai works for DoorDash.
Yi Cai is listed as Data Scientist Senior Manager at DoorDash at DoorDash.
AeroLeads has found 1 work email signal at @doordash.com for Yi Cai at DoorDash.
Yi Cai is based in Greater Seattle Area, United States while working with DoorDash.
Yi Cai has worked for Doordash, Deloitte, Ey, Enova International, and Nautilytics, Llc.
Yi Cai's colleagues at DoorDash include Kendall Washington, Hannah Brooks, Tyrell Frost, Stephanie Moore, and Brandon Pardo.
You can use AeroLeads to view verified contact signals for Yi Cai at DoorDash, including work email, phone, and LinkedIn data when available.
Yi Cai holds Master Of Science (M.S.), Statistics from University Of Illinois Urbana-Champaign.
Yi Cai is listed with skills including Sas Programming, R Programing, Soa Testing, Monte Carlo Simulation, Sql, and Matlab.
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