Fan Xiong
Seattle
Summary
As a seasoned data analytics professional with over 8 years of experience, I specialize in applying statistical methods, data science, and data engineering techniques to complex and diverse data sets. Demonstrated success in building solutions to business and analytic problem with limited resources. The analytical techniques I've developed are highly applicable to employee and organizational data, such as translating intricate data into actionable business strategies, making my skill set valuable for analyzing and enhancing organizational processes and employee outcomes.
Overview
8
8
years of professional experience
Work History
Senior Epidemiologist (Data Scientist / Manager)
Washington State Department of Health
09.2023 - Current
- Prescription Drug Epidemiology Expertise: Recognized as the lead scientific and technical authority on prescription drug epidemiology at the Washington State Department of Health, instrumental in optimizing patient safety, enhancing treatment efficacy, and reducing healthcare costs for over 4 million patients. This role underscored my ability to apply analytics to key healthcare challenges, aligning with Pinterest's focus on data-driven decision-making.
- Leadership in Statistical and Machine Learning Projects: Spearheaded a range of projects utilizing advanced statistical and machine learning techniques, including classification and ensemble models, and deep neural networks. Demonstrated adept project management by guiding a team of junior data scientists, underscoring my experience in leading initiatives and translating complex data sets into actionable insights.
- Data Management and Collaboration: Managed all aspects of data sharing practices, encompassing documentation and coordination with diverse stakeholders. This experience highlights my capacity to streamline processes and foster collaboration, crucial for a People Analytics Partner role.
- Mentorship and Technical Training: Actively mentored junior data scientists, enhancing their skills in data engineering, analytics, and a range of tools and languages (R, SQL, SAS, Tableau, Python, WinSCP). This mentorship showcases my leadership and ability to build a data-driven culture, pertinent to the Pinterest position.
Epidemiologist III (Data Scientist / Manager)
Washington State Department of Health
11.2021 - 09.2023
- Advanced Data Analysis & Policy Impact: Executed a comprehensive interrupted time-series analysis of over 120+ million prescription records, influencing policy changes to improve access to buprenorphine medication for opioid use disorder treatment, impacting over 4,000 healthcare providers. This showcases my ability to handle large data sets and apply statistical methods, directly aligning with the analytical requirements of the Pinterest role.
- Leadership in Data Science Training: Mentored and led a team of junior data scientists in data engineering and analytics, covering a range of statistical and scripting languages (R, SQL, SAS, Tableau, Python, WinSCP), and machine learning algorithms. This reflects my experience in leading projects and developing talent, in line with the expectations for a People Analytics Partner.
- Data Pipeline Development and Management: Directed the maintenance and development of complex data pipelines, integrating over 2.5+ million records from diverse sources, demonstrating my proficiency in SQL, Python, and R, essential for the Pinterest position.
- Innovative Data Linkage Solutions: Created a data linkage pipeline connecting prescription monitoring data with vital statistics, using statistical models (Fellegi-Sunter) and R packages (tidyverse, tidyr), exemplifying my skill in data storytelling and visualization.
- Translating Data into Actionable Insights: Successfully transformed statistical analysis results into practical solutions by identifying high-risk areas and patient groups, recommending strategies to mitigate prescription drug overdose risks, aligning with the role's requirement for data-driven decision making.
Epidemiologist II (Data Scientist / Data Engineer)
Washington State Department of Health
10.2018 - 11.2021
- Data Analysis and Impact on Public Health Policies: Conducted in-depth analysis using SAS, SQL, and R on over 120+ million prescription records, identifying high-risk patients and contributing to a significant 51% increase in safer opioid prescribing practices. This experience demonstrates my expertise in manipulating large, complex datasets, a key requirement for the Pinterest role.
- Advanced Machine Learning Implementation: Developed and implemented sophisticated machine learning models, including a stacked model achieving 95% similarity to a 'gold standard' expert review. Utilized caretEnsemble with R for precise data linkage among millions of National Provider Index and DEA registrants, showcasing my proficiency in machine learning, relevant to the analytical scope of the position.
- Performance Metrics Development: Established performance metrics for a treebag machine learning model, focusing on precision, recall, and F1-scores. This initiative enhanced the model's accuracy in linking patient data, demonstrating my ability to translate complex data findings into actionable insights.
- Data Product Development: Created and launched a publicly accessible Tableau data dashboard and a data product for prescription drug monitoring program data, achieving significant engagement with over 2,000 downloads and 3,000 views. This accomplishment underscores my skills in data visualization and storytelling, essential for the Pinterest role.
- Data Pipeline Engineering and Management: Engineered and managed complex data pipelines, handling over 2.5+ million records from various sources, using R, SQL, Python, and WinSCP. My expertise in managing these large-scale data integrations aligns with the technical demands of the Pinterest position.
- Innovative Analytics Environment Development: Developed a robust analytics environment with four Windows 2019 Server virtual machines, processing extensive data pipelines from multiple sources. This technical proficiency demonstrates my capability to handle and analyze large datasets, a key aspect of the job at Pinterest.
Senior Epidemiologist (Data Scientist / Data Engineer)
Kansas Board of Pharmacy
03.2018 - 10.2018
- Healthcare Interoperability Project Evaluation: Led a comprehensive evaluation of a healthcare interoperability project involving 118 pharmacists and health systems, achieving significant time savings and enhancing patient care. This project, which reclaimed over 826,870.8 minutes of patient-contact time monthly, was recognized for innovation, showcasing my ability to lead impactful initiatives and apply data-driven insights in healthcare.
- Data-Driven Prescribing Practices Analysis: Utilized Pearson correlation and logistic regression models in SAS, R, and Tableau to identify and validate safer prescribing practices among high-volume prescribers. This analysis highlights my proficiency in statistical methods and data visualization, aligning with the requirements of the Pinterest role.
- Epidemiological Reporting for Policy Support: Developed and presented daily, weekly, and monthly epidemiological reports on drug overdose trends, directly supporting policy formulation and program implementation. This experience demonstrates my expertise in delivering data insights for strategic decision-making and policy influence.
- Advisory Role in Prescription Drug Monitoring: Served as a key scientific and technical advisor for the prescription drug monitoring program, influencing policies that impacted over 2 million Kansas residents. My role involved providing data-driven recommendations for opioid use disorder treatment and prescribing regulations, underlining my leadership and expertise in data analytics.
- Comprehensive Drug Records Analysis: Conducted in-depth analysis of over 30+ million prescription drug records and related healthcare data, contributing to the development of strategies to prevent drug overdoses among 2.5+ million residents. This work exemplifies my capability to manage and interpret large, complex datasets, a crucial skill for the People Analytics Partner position at Pinterest.
Advanced Epidemiologist (Data Scientist / Data Engineer)
Kansas Board of Pharmacy / Kansas Department of Health and Environment
01.2017 - 03.2018
- Policy Support through Data Analysis: Formulated analysis plans and provided comprehensive statistical insights to the Governor’s Office and senior officials, supporting policies and programs to prevent drug overdoses. My expertise in data-driven policy consultation aligns with the analytical and strategic dimensions of the Pinterest role.
- High-Accuracy Algorithm Development: Engineered an algorithm using SAS, R, and SQL, achieving over 99% accuracy in identifying drug overdoses in death records. This initiative not only showcased my technical proficiency but also revealed 10% more overdoses than previously known, underlining my capability in delivering impactful data insights.
- Public Health Presentations and Leadership: Delivered numerous presentations on prescription drug overdoses and risk factors at various state, national, and local conferences. These engagements demonstrate my ability to communicate complex data findings effectively, a key aspect of data storytelling vital for the Pinterest position.
- Comprehensive Statistical Analysis and Reporting: Conducted in-depth analysis of extensive healthcare data (over 30+ million prescription records, 10+ million emergency admissions, and more) using SAS, R, and SQL. This work provided crucial support for public health policies, highlighting my proficiency in managing large datasets and my leadership in data analytics.
- Innovative Model Development for Data Accuracy: Developed a deterministic term frequency model to accurately identify drug overdose terms in over 100,000 death records. This project, achieving more than 99% accuracy, exemplifies my skills in algorithm development and data accuracy, relevant to the analytical scope of the Pinterest role.
Drug Overdose Epidemiologist (Data Scientist / Data Engineer)
Kansas Department of Health and Environment
06.2015 - 12.2016
- Advanced Data Analysis for Public Health: Conducted extensive analyses using SAS and R on over 30 million prescription records, 10 million emergency department admissions, 3 million hospitalizations, and 100,000 death records. This work crucially identified Kansas residents at the highest risk of drug overdoses, demonstrating my capability to handle and interpret large, complex datasets—a key requirement for the Pinterest role.
- Leadership in Program Evaluation: Directed the evaluation of Kansas's prescription drug monitoring program, KTRACS. I developed and implemented success metrics focusing on timeliness, data quality, and utility, driving targeted improvements. This role showcases my leadership in project management and data-driven decision-making, aligning with the responsibilities of a People Analytics Partner.
- Grant Acquisition and Program Development: Successfully secured a $2.1 million grant to initiate Kansas’s first drug overdose prevention public health program. This project emphasized public health surveillance and healthcare interoperability, highlighting my skills in securing funding and leading significant healthcare initiatives.
- National Collaboration in Healthcare Data Transition: Collaborated with a network of epidemiologists and experts across states to develop SAS programming for the ICD-9-CM to ICD-10-CM transition in healthcare claims data. This experience underlines my proficiency in collaborative, multi-state projects and technical expertise in healthcare data analytics.
Education
Master of Public Health (MPH) - Epidemiology and Biostatistics
05.2015
Certificate - Disaster Management
05.2015
Bachelor of Science (BS) - Political Science and Government
05.2012
- Awarded Doyle Mathis Award.
- cum laude graduate
Skills
- Data Visualization: Expertise in creating engaging and informative visualizations, particularly using tools like Tableau, to present complex data insights clearly
- Statistical Analysis: Skilled in using statistical methods like regression, t-tests, and Chi-squared tests, essential for understanding and interpreting data trends
- Data Analysis: Proficient in analyzing large complex, multidimensional datasets to extract meaningful insights, as demonstrated by my work analyzing 120 million prescription drug records, to inform and influence public health policies
- Leadership: Proven ability in leading and training data science teams and initiatives demonstrated by my experience in public health evaluation, research, building an analytic environment for the State of Washington, and many data products and reports with stakeholders
- Collaboration and Communication: Strong collaborative skills, showcased by your work with national workgroups and in multi-disciplinary teams, and your ability to communicate complex concepts effectively
- Stakeholder Engagement: Experience in interacting with and presenting to stakeholders, including high-level officials and at professional conferences
- Project Management: Extensive experience in leading and managing data-focused projects, evident in your leadership roles and project evaluations
- Machine Learning: Experience in developing and implementing machine learning models, including classification models and deep neural networks
- Languages: Proficient in R, SAS, SQL and familiar with Python
Honors Awards
- CSTE Outstanding Poster Presentation Award – Substance Use, Mental Health, and Injury, 06/2023, Project Title: A Decade of Change: Buprenorphine Prescribing Trends in Washington State, 2012 - 2022.
- Employee of the Fourth Quarter Award, State of Kansas, 03/2018
- Safe States Alliance Innovative Initiatives (Nominated), 2018, Project Title: Integrating Electronic Medical Records and Pharmacy Management Systems with Kansas's Prescription Drug Monitoring Program: An Inter-agency Collaboration to Address the Opioid Epidemic in Kansas.
- Kansas Board of Pharmacy Innovation Award, 05/2017
Publications
Epidemiology of Opioid and Amphetamine Related Morbidity in Kansas, 2012-2016, Kansas Health Statistics Report, February 2018, https://www.kdhe.ks.gov/ArchiveCenter/ViewFile/Item/545 Building Methods for a Proactive Prescription Drug Surveillance System, Online Journal of Public Health Informatics, 9, 1, e013, 2017, 10.5210/ojphi.v9i1.7591 Risk Factors Associated with Fall-Related Injuries among Kansas Seniors, 2012 and 2014 Kansas Behavioral Risk Factor Surveillance System, Kansas Health Statistics Report, 2016, https://www.kdhe.ks.gov/ArchiveCenter/ViewFile/Item/565
References
Personal and professional references available upon request.
Timeline
Senior Epidemiologist (Data Scientist / Manager) - Washington State Department of Health
09.2023 - Current
Epidemiologist III (Data Scientist / Manager) - Washington State Department of Health
11.2021 - 09.2023
Epidemiologist II (Data Scientist / Data Engineer) - Washington State Department of Health
10.2018 - 11.2021
Senior Epidemiologist (Data Scientist / Data Engineer) - Kansas Board of Pharmacy
03.2018 - 10.2018
Advanced Epidemiologist (Data Scientist / Data Engineer) - Kansas Board of Pharmacy / Kansas Department of Health and Environment
01.2017 - 03.2018
Drug Overdose Epidemiologist (Data Scientist / Data Engineer) - Kansas Department of Health and Environment
06.2015 - 12.2016
The University of Georgia College of Public Health - Master of Public Health (MPH), Epidemiology and Biostatistics
The University of Georgia College of Public Health - Certificate, Disaster Management
Berry College - Bachelor of Science (BS), Political Science and Government
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