Resume

Below is a summary of my experiences and accomplishments, including my education, skills, work experiences, certificates and some highlighted courses I have taken at the University of Washington. If you are looking for a more concise data science resume, my current one can be found here:

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Education

Master of Science in Information Systems June 2020
University of Washington, Michael G. Foster School of Business GPA 3.81
Focus: Data Science and Business Analytics

Bachelor of Arts in Business Administration June 2019
University of Washington, Michael G. Foster School of Business GPA 3.53
Majors: Information Systems and Operations & Supply Chain Management

Associate of Art June 2016
South Seattle College GPA 3.77
Focus: Business Administration

Technical Skills

Machine Learning

  • 6+ years of experience
    Anomaly Detection, Classification, Clustering, Deep Learning, Exploratory Data Analysis, Feature Engineering, Natural Language Processing, Neural Networks, Prediction, Regression

Advanced Python

  • 7+ years of experience
    Beautiful Soup, Django, Flask, GenSim, Keras, NLTK, NumPy, Pandas, scikit-learn, SciPy, Scrapy, Selenium, TensorFlow

Advanced SQL

  • 7+ years of experience
    pgAdmin, PostGIS, PostgreSQL, MySQL, MySQL Workbench, SQLAlchemy, SQLite

Advanced Excel

  • 9+ years of experience
    Automation, Decision Models, Forecasting, Linear & Non-linear Programing, Solver, Statistics

Advanced Visualizations

  • 7+ years of experience
    Bokeh, Matplotlib, Plotly, Power BI, Seaborn, Tableau, Visio

R

  • 6+ years of experience
    Caret, dplyr, ggplot2, ggmap, tidyr

Work Experience

Data Science Consultant Sep 2020 - Current
Freelance Seattle, WA

  • Conducted in-depth data analysis and delivered customized business solutions for clients across various sectors, ensuring recommendations aligned with their specific needs and stakeholder goals.
  • Developed data-driven strategic solutions to address cross-departmental challenges, focusing on both immediate needs and long-term organizational objectives.
  • Engineered an automated Python-based billing system, generating comprehensive reports from SQL databases, reducing monthly manual processing from 40 hours to 1 hour of validation.
  • Designed and implemented an automated dashboard framework in Google Sheets that extracted data from AWS PostgreSQL, allowing for real-time data processing and scalable automated report generation.
  • Engineered and deployed a robust weekly automated pipeline, constructing a Slowly Changing Dimension (SCD) table from initial concept to production, processing and organizing over three years of previously unstructured data, enabling efficient data access for ad hoc inquiries, cohort analyses and critical business dashboards while reducing production costs by eliminating redundant data snapshots.

Data Science Research Associate Oct 2021 - Aug 2022
School of Business, University of Washington Bothell, WA

  • Developed, engineered and presented in-depth solutions for post-doctoral research through analyzing a large dataset comprising 4.4 million raw data points, while effectively communicating findings to stakeholders through presentations that catered to both technical and non-technical audiences.
  • Conducted natural language processing (NLP) tasks, including sentiment analysis and topic modeling, using transfer and machine learning algorithms on more than 1.2 million unlabeled text entries.
  • Constructed and implemented a scalable pipeline for feature engineering and automatic aggregation across all data points, resulting in the efficient summarization and refinement of research output for analysis.

Business Analyst Consultant Mar 2017 - Apr 2020
Foster School of Business, University of Washington Seattle, WA

  • Provided advisory services to a diverse range of clients to enhance their business operations through data analysis and implementation of new technology while providing strategies for future development and growth.
  • Delivered strategic business and technology implementation advisory to diverse clients, driving operational enhancements through data analysis while providing strategies for future growth initiatives.
  • Designed and engineered an AWS cloud infrastructure and project plan for an educational non-profit, using cloud scaling and serverless technologies to enable seamless expansion to meet increasing user needs while minimizing costs.

Certifications

UW Foster School of Business Excel Credential

Awarded: Jun 10, 2020

Awarded To: Ryan J Lonergan

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Select Courses

Machine Learning and Artificial Intelligence for Business Applications MSIS 549

  • Course Description: Covers machine learning, deep learning, and artificial intelligence algorithms for business applications. Students will learn the theory of deep learning and gain practical experience from building neural networks to solve big data problems in business.

Advanced Business Data Mining MSIS 522

  • Course Description: Covers managerial decision-making and business intelligence. Topics include association rule mining and regression. Special attention given to embedded intelligence in modern business processes and applications.

Advanced Database Systems and Data Warehouses MSIS 543

  • Course Description: Extends and enhances understanding of enterprise databases to design, implement, and support business intelligence (BI) solutions. Topics include DBMS extensions for data warehousing, data warehouse and data mart design, loading and extracting data, performance tuning, and cloud-based Bi application design. Emphasizes agile techniques to efficiently produce optimal solutions that meet business requirements and increase competitive advantage.

Business Data Analysis MSIS 502

  • Course Description: Covers statistical techniques for managerial decision making. Includes hypotheses testing, regression, and analysis of variance.

Business Decision Models MSIS 504

  • Course Description: Covers formulating and modeling business decision problems. Includes risk analysis, simulation, linear programming, and extensions.

Managing in the Era of Cloud Computing MSIS 547

  • Course Description: Covers cloud computing; risks and benefits of information technology (IT) infrastructure; service and deployment models; virtualization and organizational impact; and cloud security.

Cyber Security Policy, Management and Compliance MSIS 523

  • Course Description: Covers the overall framework of information technology (IT) compliance, both generic and industry-specific. Includes intellectual property rights, privacy, copyright protection, trade secrets, and other legal issues relevant to IT.

Enterprise Systems and Integration MSIS 526

  • Course Description: Provides an overall understanding of the complex role of information systems in transforming organizational processes and integrating them as part of an enterprise system. Topics include the concept of process-enabling information technologies and enterprise resource planning systems that support organizational manufacturing, customer service, and human resource management.

Information Technology and Organizational Strategy MSIS 501

  • Course Description: Discusses the role of information technology (IT) in the development and execution of business strategy that takes into account competitors, customers, and firm competencies (including IT capabilities). Examines the impact of IT on two sets of strategic issues for a company - where to compete and how to compete. Helps students develop tools to use IT in aiding strategy.

Spreadsheet Models for Managerial Decision Making QMETH 450

  • Course Description: Formulation and solution of business problems using operations research techniques in a spreadsheet environment. Techniques of linear and integer programming, decision analysis, network optimization, queuing, and simulation. Applications from marketing, finance, and operations.