Xiaoyu Yang Email and Phone Number
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Are you passionate about leveraging the power of data science to create business strategy, drive user engagement, and make financial impact? If so, we have something in common! I am a seasoned data science professional with 8+ years of experience in digital media and marketing analytics for healthcare and insurance industries. I help companies solve complex business problems and make data-driven decisions through A/B/multivariate testing, causal inference, and machine learning. Highlights of my achievements include: • Successfully launched a pioneering care management lite program to 200K Medicare plan users, driving 35% behavior change and 10K incremental compliances in health screenings • Built and deployed a multi-class neural network model in keras/tensorflow to optimize digital campaigns and achieve $5-7.5M of incremental medical cost savings • Standardized experimentation framework and leveraged causal inference methodologies to improve the accuracy of measurement by 30%My passion for data science, problem-solving, and technical leadership drives me to innovate, collaborate, and mentor. Let's connect to explore how my expertise can elevate your organization's next data-driven initiatives. Please reach out to me at xiaoyu.yang1104@gmail.com, and let's embark on a journey toward shared success and impact!
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Senior Data ScientistAmazon Jun 2024 - PresentSeattle, Wa, UsA/B testing and observational studies to understand the incremental impact of Amazon Associates and Influencer Program
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Lead Data ScientistCvs Health Mar 2021 - May 2024Woonsocket, Ri, Us• Led the launch of a pioneering care management lite program to 200K Medicare plan users, driving 35% user behavior change and 10K incremental compliances in health screenings• Standardized the experimentation framework across 5 data science teams with 40+ concurrent digital campaigns, improving the accuracy of program-level impact by 30%• Leveraged Bayesian Structural Time Series model using Python to quantify the impact of digital campaigns without control groups, increasing team-level business impact by 10%• Collaborated with 3+ cross-functional agile teams and managed 5+ work streams with Rally / JIRA in a fast-paced experimentation environment• Led the presentation of monthly governance meetings to communicate insights and businessstrategies with technical and non-technical stakeholders in formal leadership updates• Hired, managed, and led a high-performing team of 3 data scientists that has successfully delivered 3 high-profile projects within 6 months -
Senior Data ScientistCvs Health Jan 2019 - Mar 2021Woonsocket, Ri, Us• Led the launch of a site-of-care digital campaign series to 800K commercial insurance plan users, driving 5.5-10% of user behavior change and $5-7.5M incremental medical cost savings• Designed 10+ A/B/multivariate tests and leveraged advanced techniques to improve the robustness of the experiments by 30-50%• Performed statistical tests and regression analysis to understand the incremental impact, facilitating the decisions to launch future iterations that drove 2-5% incremental user behavior change• Developed and deployed a multi-class neural network model using keras to predict plan users’ likelihood of needing minor surgeries in the next 6 months with an AUC of 87%• Mentored 5 junior colleagues and dedicated 1+ hours each week to share technical best practices, improving team's technical skills and boosting productivity by 15%
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Data Analyst IiAig Jan 2017 - Dec 2018New York, Ny, Us• Developed and deployed an xgboost classifier using R and a multi-server queueing model using Python to predict underwriting workload and facilitate staffing decisions, reducing the overall pricing turnaround time by 10%• Automated underwriter performance scorecard and operational bottleneck reports in Tableau to facilitate operation strategies, reducing the time spent on reporting by 90%• Presented as a representative of the data science team in a monthly strategic meeting to technical and non-technical stakeholders across the company -
Data AnalystAig Feb 2015 - Dec 2016New York, Ny, Us• Developed and deployed a logistic regression model and a K-Means clustering model in R to target customers for a cross-selling digital campaign of auto and home insurance products, driving 15% incremental conversion rate• Identified defective metrics and automated the QA process for an executive business intelligence project in Tableau, reducing the time spent on manual QA by 90%• Collaborated with engineering, UI design, and marketing to track projects and iterations using JIRA and followed an agile process
Xiaoyu Yang Skills
Xiaoyu Yang Education Details
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Columbia UniversityOperations Research -
University Of International Business And EconomicsEconomics
Frequently Asked Questions about Xiaoyu Yang
What company does Xiaoyu Yang work for?
Xiaoyu Yang works for Amazon
What is Xiaoyu Yang's role at the current company?
Xiaoyu Yang's current role is Data Science Lead // Transforming terabytes of data into strategy and impact.
What is Xiaoyu Yang's email address?
Xiaoyu Yang's email address is xi****@****aig.com
What is Xiaoyu Yang's direct phone number?
Xiaoyu Yang's direct phone number is +191796*****
What schools did Xiaoyu Yang attend?
Xiaoyu Yang attended Columbia University, University Of International Business And Economics.
What are some of Xiaoyu Yang's interests?
Xiaoyu Yang has interest in Psychology, Classic Piano, Languages, Taishi, Literature, Ink Painting, Rubik Cube, Hiking, Rubik's Cube, Creative Writing.
What skills is Xiaoyu Yang known for?
Xiaoyu Yang has skills like Microsoft Excel, R, Data Analysis, Powerpoint, Vba, Matlab, Risk Management, Sql, Economics, Sas, Stata, Statistical Modeling.
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