Machine Learning Data Science

Xu “Sue” Ashton *********@*****.*** 218-***-****

github.com/sue012012 linkedin.com/in/SueAshton

Strategic Leadership Empowered by Data-Driven Decision-Making Strategies Infused by Technology + People + Process to Drive Organizational Growth and Operational Excellence Experienced leader with expertise in data science, machine learning, and AI-driven strategies. Skilled in predictive modeling, statistical analysis, and deploying scalable solutions to optimize business outcomes. Proven ability to lead cross-functional teams and deliver actionable insights for impactful decision-making. Lead data-driven, nationwide integrated marketing campaigns for Fortune 500s, high-tech and nonprofits alike. Analytics strategies grounded in advanced mathematics and statistics academic acumen and sound business judgment. Transform lackluster groups into high-performance teams of technologists, data analysts, engineers and strategists. Professional Skills

Data Science & Machine Learning: Algorithm development, predictive modeling, feature engineering Cloud Platforms & Tools: Azure, AWS, Google Cloud, SSMS, TensorFlow/Keras, Tableau, Power BI, Python, R, SPSS, SQL Data Analytics & BI: Dashboards, visualization, analysis, segmentation, A/B testing, reporting, governance, ROI optimization Leadership & Strategy: Team leadership, stakeholder management, strategic planning Project Execution: Data pipelines, reporting frameworks, marketing optimizations Leadership Experience

Principal Consultant / Senior Data Scientist SHA Consulting Sept 2012–Present Advised boards and companies on creative solutions using data science, machine learning, analytics, advanced mathematics, statistics and computing algorithms. Clients included diverse-industry C-Suite leadership spanning healthcare, advertising, and education.

● Collaborated with senior stakeholders to define analytics roadmaps, aligning machine learning initiatives with strategic business objectives.

● Spearheaded the adoption of machine learning models, improving operational efficiency by 21% through predictive analytics.

● Delivered analytics and machine learning solutions for diverse industries - healthcare, education, entertainment, and advertising.

● Led teams of data scientists and analysts in developing end-to-end data pipelines for customer segmentation, demand forecasting, visualization, and personalized recommendations.

● Built automated dashboards and risk models to improve decision-making and optimize outcomes using Epic Clarity, PowerBI, Tableau, SQL, and Vizient CDB.

● Acted as a mentor, helping aspiring professionals transition into roles in data science and analytics.

● Served on an invitation-only Risk Model Advisory Committee for healthcare services, collaborating with executives from Mayo and Cleveland Clinics.

Senior Health System Engineer II/Senior Quality Improvement Analyst UT Southwestern Medical Center Aug 2018–Dec 2019 Advised Chief Quality Officer and received award nomination accolades by Hospital Director for comprehensive data analytics and reporting on several high-visibility projects.

● Designed benchmark analysis and dashboards using Tableau, PowerBI, SQL, and Excel to support strategic hospital initiatives.

● Optimized scorecard accuracy and reliability by streamlining SQL code and leveraging Power BI and Tableau for advanced visualization.

● Enhanced patient care outcomes by monitoring and improving KPIs, and delivered actionable insights to C-suite executives, directly influencing strategic decision-making.

● Served as a senior technology advisor and key influencer for a major organizational opioid safety initiative, collaborating with stakeholders across pharmacy, internal medicine, and nursing.

● Mentored and hired junior data analysts, fostering a culture of innovation and continuous learning in advanced analytics techniques. VP Enterprise Analytics and Consumer Insights United Way of Metropolitan Dallas Jul 2017–Oct 2017 Increased donation revenues converting donor prospects, reducing churns and increasing retention using 5-year data for predictive pricing analysis. Led team of FTEs, contract analysts and consultants on dashboard/data warehouse development. Reinvigorated stalled efforts by gaining CFO buy-in for executive dashboards in less than 3 weeks.

● Increased donor retention and revenue using predictive analytics based on historical data.

● Developed the enterprise data architecture to guide digital marketing and strategic financial planning. Xu “Sue” Ashton 218-***-**** *********@*****.*** Page 2 Director Analytics Reporting Operations Hearts & Science (Omnicom Media Group) Feb 2017–Jul 2017 Oversaw development and analysis of strategic analytic insights and reporting in programmatic investment.

● Provided analytic strategies for $3.2B AT&T account, employing machine learning models and programmatic advertising technologies.

● Partnered with major platforms, including Google and Amazon, to innovate mobile advertising strategies.

● Led teams of analysts in launching digital marketing campaigns, monitoring and optimizing performance and operations. Professor Data Science/ML/AI/ Analytics Purdue University Global Dec 2022–Present Serve as the lead faculty and curriculum development for AI, machine learning, and data science courses.

● Led the development of Generative AI and machine learning courses, incorporating Python, SQL, visualization, and modeling. Certifications

AWS Cloud Practitioner

Microsoft Azure Fundamentals

Google Data Analytics

DeepLearning.AI TensorFlow Developer Professional

MIT Tackling the Challenges of Big Data, Entrepreneurial Negotiations DataCamp Python, PostgreSQL

Education

M.S., Computational & Applied Mathematics Southern Methodist University M.B.A. Southern Methodist University

B.S., Computer Science University of Texas at Austin Graduate Statistics Research & Study Texas A&M University Projects

● Developed machine learning models for text classification, image recognition, and predictive analytics using Python, TensorFlow, R, and SQL.

● Automated pipelines for IoT and operational data in AWS, optimizing insights for automotive and insurance industries. Technology Proficiencies

Tools: Python, SQL, Tableau, TensorFlow, Keras, Azure ML, Scikit-learn, Google AutoML Modeling: Regression Multivariate A/B NLP Convolutional Neural Networks K-means LSTM Deep Learning Patent

Method and System for Solving Cellular Communications Frequency Planning US 6,047,186

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