Kevin Deng Email & Phone Number

Chicago, IL, US

Chicago, Illinois, US

• Build the pipeline and infrastructure to retain hundred millions of users per day for Grubhub CRM focuses. Transform strategy to execution.
• Develop automated and distributed pipeline for leveraging near real time ML for precision targets and push marketing operation to excellence.
• Developing full stack data science platform solution with s3, Data Lake, Hive, Presto to merge logistic and acquisition for delivering operation with CRM, SEM, paid social utm attribution for marketing and campaign.
• Drive sizable growth by launching experimental content and analytical metrics for branding and email/push notification programmatic campaigns with data engineering backend pipeline.
• Integrating Machine Learning prediction (XGBoost, Time Series) and building ETL, feature processing, tuning, validation pipeline for implementing marketing conversions for growing Grubhub's drivers, diners, enterprise.
• Build up Presto, Hive, Spark in Hadoop with Azkaban Scheduler to integrate debris operational, marketing, and finance data for Grubhub delivery decision.

Chicago, IL, US

• Lead data science analytical projects and fraud prevention machine learning models for global Groupon payment and orders platform across all line of business (voucher, goods, local experience, travel).
• Integrated multiple payment gateways, processors, and Groupon check out system to generate successful metrics to enhance safer user experience with data engineering and fraud operation excellence.
• Develop sustainable ETL on AirFlow/DAG jobs scheduler with PostgreSQL, Teradata Vantage, Dremio, AWS S3, and Snowflake.

Chicago, IL, US

• Lead C-level KPI analytics in fraud loss dashboards for 16 countries, 10+ verticals, a million of deals, billions of orders in E-commerce.
• Create business logic in SQL on Teradata, Snowflake, S3 for fraud chargebacks and refunds crossing lines of business, payment providers, fraudulent activities to categorize and attribute disputes and resolutions for 1.
• Deliver analytical advice for customer loyalty programs based on multiple payment data models.
• Manage and analyze multiple payment vendors' performance by creating a co-op data platform for evaluation.
• Shorten 40% running time by optimizing fact tables, query efficiency, and scheduling on ETL with python Teradata module, Airflow, enterprise DAGs concurrency
• Develop python data ETL on pandas, python Teradata module, and create Tableau API, 50+ reports, 10+ dashes for fraud and payment operation/strategy.

Peterborough, New Hampshire, US

• Create analytical pipelines to visualize SEM and Paid Social data from Google Analytics API, database, Salesforce SOQL to actionable digital strategy, performance index, using SQL, Python, R, and Tableau.
• Reduce 90+% time on manual works of 10+ analysis reports by developing programmatic business analytical intelligence, including HTML, JavaScript, Flask. Systematically visualize digital marketing performance and.
• Increase market share for 150 dealers by advising strategy to target specific customers, building digital campaigns. Connect low-funnel shoppers directly with the dealer Vehicle Detail Page.
• Teamwork with marketing leading to improve 5% retention rate by consolidating patterns on pricing, promotion, and content from 3000+ clients’ digital campaigns data.
• Streamline analyzing processes for 1000+ dealers, OEM, large group customers’ attribution, ROI, Velocity reports including more than 30 critical index such as CPC, Bounce Rate, Goals, Events, Engagements, Vehicle.

Master Of Science, Engineering, Stem Project Management

Bachelor Of Science