Machine Learning Data Analyst

Yichen Liu

***** ****** ******* ****, *****, VA *0105

513-***-**** ********@*******.***

PROFESSIONAL SUMMARY

Experienced Data Analyst and Statistician with over 10 years of expertise in machine learning, business intelligence, and statistical modeling. Adept at leading complex analytics and reporting projects with a proven track record of developing accessible and repeatable business insights and data visualizations for key stakeholders. Skilled in leveraging data to inform decision-making, optimizing business investments, and driving performance discussions across multiple channels. Proficient in Python, SQL, SAS, Tableau, and Excel, with a strong foundation in machine learning and data science. Looking to apply leadership and technical skills in a dynamic environment to enable data-driven decision-making and business optimization. PROFESSIONAL EXPERIENCE

Statistician II (Federal Contractor for NHTSA)

Bowhead Logistics Solutions, Washington, DC

June 2017 – Present

- Serve as a federal contractor supporting the U.S. Department of Transportation's National Highway Traffic Safety Administration (NHTSA), leading advanced analytics and reporting projects to provide actionable business insights and performance metrics for federal safety programs.

- Developed and maintained Tableau dashboards that visualize fatal crash statistics, enhancing decision- making processes for key federal stakeholders and improving access to critical safety data.

- Utilized Python, SQL, and SAS to perform statistical modeling and machine learning analysis, directly supporting NHTSA’s mission to enhance vehicle safety and reduce road traffic fatalities.

- Actively contribute to the federal agency’s performance discussions by providing timely data analysis, reporting, and recommendations that optimize safety initiatives and resource allocation at the national level.

- Partner with NHTSA's internal teams and data services to ensure high data quality and integrity, facilitating the integration and transformation of data across multiple federal systems to meet the agency’s evolving needs.

- Communicate complex data findings effectively through visual storytelling and stakeholder-centered presentations, ensuring insights are accessible and impactful for senior leadership within the federal agency. Data Analyst

Epsilon, Cincinnati, OH

February 2016 – April 2017

- Led data analysis efforts for a national hotel loyalty program, providing segmentation analysis and actionable insights to enhance member communications and campaigns.

- Utilized SQL and SAS to perform ad-hoc analyses that improved the efficacy of targeted marketing strategies and optimized the customer retention program.

- Partnered with marketing teams to interpret campaign performance data and connect results to relevant business objectives, leading to improved customer engagement strategies. Statistician I

Bowhead Systems Management, Washington, DC

June 2014 – February 2016

- Provided technical support to NHTSA, including developing regression models in SAS to analyze motor vehicle crash data and predict crash outcomes, contributing to consumer safety improvements.

- Created web-enabled query tools using HTML, JavaScript, and SAS macros to enhance data extraction and reporting processes, supporting over 500 internal users.

- Developed and presented detailed research notes and statistical reports that shaped national motor vehicle safety regulations and public awareness campaigns. EDUCATION

MS - Business Analytics

University of Cincinnati, Carl H. Lindner College of Business Cincinnati, OH April 2014 BA - Mathematics

University of Cincinnati, McMicken College of Arts and Sciences Cincinnati, OH June 2012 SKILLS

- Data Science: Python (scikit-learn, numpy, pandas), SQL, Tableau, Excel, SAS (BASE/STAT/SQL/MACRO), R, Machine Learning, Data Mining, Regression Modeling.

- Data Visualization: Tableau, Python Dash, SAS, SQL.

- Tools: SAS Enterprise Guide, Tableau Server, Oracle SQL, VBA, JavaScript, HTML.

- Statistical Analysis: Logistic Regression, Time Series Analysis, Data Simulation.

- Business Intelligence: Automated reporting, KPI development, Performance dashboards, Ad-hoc analysis. CERTIFICATIONS

- SAS Enterprise Guide 1: Querying and Reporting

- SAS Enterprise Guide for Experienced Programmers

- SAS Statistics I: ANOVA, Regression, and Logistic Regression SELECTED PROJECTS AND ACHIEVEMENTS

- Fatal Crash Statistics Dashboard: Developed a comprehensive Tableau dashboard to analyze fatal crash statistics for NHTSA, enhancing data accessibility for decision-making at the national level.

- Machine Learning Models for Motor Vehicle Safety: Designed and implemented machine learning models in Python and SAS to predict motor vehicle crash outcomes, contributing to NHTSA's safety initiatives.

- Published Research Notes: Authored multiple research notes on motor vehicle safety trends, providing key insights that shaped national safety campaigns and regulations.

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