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With over 6 years of experience in data science, I excel at utilizing advanced machine learning algorithm, statistical analysis and experimentation methods to address complex business challenges. I have a solid theoretical and practical background in statistics and extensive experience in data engineering. I have a proven track record of collaborating effectively with marketing, business, and engineering teams on implementing data-driven strategies.
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Lead Data ScientistCvs HealthHouston, Tx, Us -
Lead Data ScientistCvs Health Apr 2022 - PresentWoonsocket, Ri, Us• Led measurement and optimization of trial recruitment, built and developed a framework that automated A/B test analysis, cohort comparison, insights gaining, and strategy discovery and validation. Supported all trials across multiple channels with data-driven insights, improved engagement rates by 30-200% and contributed to over $200k quarterly revenue lift• Initiated and built email optimization and call prioritization models to identify patients with high engagement propensity, led modeling strategies for campaign optimization, resulting in a 2-3X lift on key metrics across multiple campaigns• Designed experimentations, measured and optimized performance on multichannel campaigns of clinical trial recruitment. Optimized the pipeline with automated feature generation and ingestion, reducing development time by over 50%• Built a patient disease identification model framework to streamline disease modeling, supporting efficient targeting and effective outreach. Improved recruitment effectiveness by 2-5X compared to random outreach -
Data ScientistSysco Jul 2018 - Apr 2022Houston, Tx, Us• Built an email campaign engine that generated personalized and prioritized product recommendations for customers and customized email send time with predictive modeling. Designed and executed experimentations to optimize open and conversion rate with A/B testing • Deployed scalable flask rest API in sprint manner and established CI/CD practices with DevOps team, significantly accelerating processes• Developed and supported recommender systems to recommend forgotten items, similar items, etc. to increase line purchasing and penetration, contributing to over $6M quarterly revenue increase • Initiated and built an item substitution engine to recommend alternatives for out-of-stock items, and deployed APIs utilizing AWS Elasticsearch and DynamoDB supporting multichannel; Improved engine performance and acceptance rate to 40% by incorporating end-user feedback• Conducted pricing analysis, deployed price migration algorithms nationally, resulting in $2.4M annual revenue benefits• Built a hybrid text matching algorithm with TF-IDF, n-grams and edit distances to provide insights on acquisition and decision making on external data sources incorporation • Led two associate data scientist onboarding, road maps and deliverables. Managed one associate data scientist -
Data ScientistIbm Feb 2017 - Jun 2018Armonk, New York, Ny, Us• Analyzed over 100GB multi-dimensional health claims data, integrated disparate data sources, developed predictive model to execute risk stratification for population management, led the model conversion for a group of 8 scientists• Successfully deployed the developed model into production, tested pilot product and delivered solutions in an agile team• Predicted the cost of underlying illness burden that individuals carry to manage financial risk of clients• Utilized machine learning techniques to detect high-risk patients, and drove data-driven strategies for stakeholders -
Research Fellow, Independent ContractorStanford University Oct 2015 - Sep 2016Stanford, Ca, UsPerformed statistical programming and analysis on the ongoing research by Professors Richard Olshen and Lu Tian:• Further developed the R package lymphclon, examined variance estimation method, and revised the underlying distribution for a better estimator in a broad ecological context -
Research Associate/Data AnalystStanford University Mar 2016 - Jun 2016Stanford, Ca, UsCollaborated with a Stanford Economic Sociology Researcher on Longitudinal Study of Employer Pensions, cleaned, prepared and analyzed data:• Cleaned and integrated 50GB unstructured pension-plan data from the Department of Labor with bankruptcy datasets; Identified significant results of 401k adoption rate in different bankruptcy levels and built quantitative models of 401k adoption and identified its significant predictors
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Graduate Research FellowSanford Burnham Prebys Medical Discovery Institute Jan 2011 - Jun 2015La Jolla, Ca, Us• Calculated, modeled 3D protein structures using Python, which were deposit into Protein Data Bank (Code: 2N2L) • Manipulated, processed, displayed and analyzed multidimensional data on LinuxMy work has led to several papers published in peer-reviewed journals, and contributed to the acquisition of a research project grant from the National Institutes of Health
Yi Ding Skills
Yi Ding Education Details
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Penn State UniversityApplied Statistics -
Sanford Burnham Prebys Medical Discovery InstituteBiomedical Sciences
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Iowa State UniversityComputational Biology
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University Of Science And Technology Of ChinaChemistry
Frequently Asked Questions about Yi Ding
What company does Yi Ding work for?
Yi Ding works for Cvs Health
What is Yi Ding's role at the current company?
Yi Ding's current role is Lead Data Scientist.
What is Yi Ding's email address?
Yi Ding's email address is di****@****sco.com
What is Yi Ding's direct phone number?
Yi Ding's direct phone number is +185821*****
What schools did Yi Ding attend?
Yi Ding attended Penn State University, Sanford Burnham Prebys Medical Discovery Institute, Iowa State University, University Of Science And Technology Of China.
What skills is Yi Ding known for?
Yi Ding has skills like Statistics, Statistical Programming, Biochemistry, Python, Statistical Software, Data Analysis, Sas Programming, R Programming, Sql, Life Sciences, Red Hat Linux, Machine Learning.
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