Data Analyst Machine Learning

Core Competencies

• Teamwork and Leadership, Problem-Solving, Agile Methodologies, Stakeholder Engagement

• Model Development and Deployment, Healthcare Analytics, Strategic Data Analysis, Advanced Data Manipulation

• Machine Learning and Deep Learning, Data Governance and Quality Assurance, Cloud Computing (AWS and Azure), API

• Python, R, SQL, Data Bricks, Qlik SaaS, Excel, Visual Code Professional Experiences

Accolade Inc, Houston

Senior Data Analyst in Finance Department, September 2023 – Present Bridge production operations and financial strategy in the dynamic market. Collaborate with production operations for a deep understanding of operational needs and challenges. Design and implement analytical models, transferring performances into tangible financial goals.

• Bonus Targeting Metrics Model: Created a comprehensive model to assess and monitor performance metrics at different levels. Coordinated to align key performances with capital efficiencies. Developed bonus target setting mechanisms and deployed a Qlik SaaS dashboard to facilitate transparent decision-making.

• High Cost Claimant Analysis: Led a cross-functional group to understand service utilization patterns of high cost claimants from claims and Enterprise Data Warehouse (EDW), develop models to differentiate chronic and acute traits, investigate yearly trends, and develop actions to enhance service delivery and cost management. Senior Data Analyst in Production Department, October 2021 – September 2023 Excelled in value creation from raw data into business guidance in production operations. Built an acute awareness of stakeholder needs in tandem with advanced proficiency in SQL for data extraction and cleaning, Python for data processing, and proper analytical model constructions. Adept at identifying patterns to enhance operational efficiency.

• High-Cost Member Prediction: Spearheaded the development of a machine learning model to predict high-cost members from historical medical and pharmacy claims data. Focused on identifying critical member traits, analyzing feature importance, selecting top predictors, and building robust classifiers for high-cost claimants.

• Find Care Stickage Analysis: Designed and implemented a specialized analytics model to measure member adherence to recommended care providers. Developed logic for categorizing provider types and specialties, integrated these traits into the EDW, and conducted multifaceted analyses to pinpoint and address adherence gaps.

• Performance Guarantee Analysis: Engineered a performance tracking model to monitor contractual obligations. This consisted of crafting traits logic, identifying performance discrepancies, investigating underlying causes, and providing actionable solutions to meet and exceed performance standards.

Research Associate, University of North Texas (UNT), Denton, September 2011 – December 2013

• Broad experiences in nanotechnology, biotechnology, composite materials, data analysis and lab experiment

• Data exploring, transforming, and loading in preparation for experimental data analysis Research Associate, University of Minnesota, Minneapolis, March 2011 – September 2011

• Developed novel nanomaterials and optimized the experimental data processing

• Mentored college students in labs for experiment design, data extraction, analysis and reports Research Associate, National University of Singapore, Singapore, January 2010 – January 2011

• Created and applied a novel microporous reverse osmosis membrane in multiple interfaces

• Experimental data collection, cleaning, processing, analysis and visualization Educational Background

MS in Computer Science, Specialization in Machine Learning, Georgia Institute of Technology, 2021 – Expected 2025 Core Courses: Data Analytic and Visualization, Bayesian Statistics, Deep Learning, Time Series Analysis, Database Systems, Concepts and Design, Machine Learning

MS in Geophysics, University of Houston, Houston, 2014 – 2018 Core Courses: Geophysical Data Processing, Signals and Analysis, Seismic Wave and Ray Theory, Microseismic Theory and Methods PhD in Materials Science and Engineering, Tongji University, Shanghai, 2006 – 2009 Certifications and Awards

• Deep Learning Specialization (5 courses from Stanford University), Coursera Course Certificates

• LinkedIn Learning Certificates (Learning Python, Data Ingestion with Python, Python Essential Training, Python for Data Science Essential Training Parts 1 and 2)

• Omega Processing Software Certificate and Full Stack Web Developer, Nanodegree Program at Udacity

• Best Paper Award in Biomedical and Biotechnology, 2013 ASME International Mechanical Engineering Congress and Exposition Wen Hu

Houston, Texas 77024 832-***-**** *******@*****.*** Senior Data Analyst with extensive experience in the healthcare industry. MS in computer science with specialization in machine learning at Georgia Tech to be graduated in 2025. Experience in Oil and Gas. Expert in data cleaning, restructuring, and model building. Proficient in transforming complex backend data into actionable insights for value creations. Project coordinator in multidisciplinary teams. Skilled in communicating findings clearly. Quick learner and team player in a fast-paced environment.

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