cv

Contact Information

Name Willie Man
Professional Title All Things Data - Analyst, Scientist, Engineer
Email williemaize828@gmail.com
Phone (512) 200-2780
Location Greater Houston, Texas
Website https://godot107.github.io/

Professional Summary

Data and analytics leader with 8+ years turning complex, large-scale data problems into measurable business outcomes. Currently a Data Quality Manager and platform SME (ServiceNow IRE, IBM Apptio, and Databricks) who blends project management, data engineering, and analysis to deliver fast — recently modernizing a decade-old tech stack in roughly nine months and automating ETL pipelines that save $2M annually. AWS- and Azure-certified with a Master of Applied Data Science from the University of Michigan, and an early adopter of GenAI tooling (Claude, Gemini, and Copilot) to accelerate delivery.

Experience

  • 2018 - Present

    Capgemini
    Data Quality Manager
    Lead data quality improvement projects, owning the strategy, roadmap, and delivery of key initiatives. Managed a team and external vendors, delivering results across multiple projects.
    • Subject Matter Expert (SME) for ServiceNow IRE (Identification and Reconciliation Engine), IBM Apptio, and the Databricks platform, spanning project management, engineering, and analysis in an incredibly fast-paced environment.
    • Led the modernization of a ~10-year-old data tech stack, delivering a scalable replacement in roughly 9 months.
    • Architected and implemented a Java-based data quality reporting application, driving a significant improvement in data health by executing the Data Quality Management Program.
    • Led an ETL workstream, generating revenue and saving $2M annually by automating data processes for hundreds of thousands of records and millions of monthly updates. Responsibilities included requirements gathering, testing, and stakeholder approvals.
  • 2016 - 2018

    Capgemini
    IT Financial Business Analyst
    Administered an enterprise financial system, generating millions in monthly invoices for Texas Public Agencies, ensuring accuracy and timely processing.
    • Led several data analytics and automation project initiatives that included developing automated billing methodology, creating a financial forecast ($12 Billion forecasted over 4 years), and automating manual tasks.
  • 2026 -

    Houston, Texas

    Audio-Visual Team
    Pillar HTX
    • Audio-visual production and live broadcast support for weekend services.
  • 2023 - 2025

    Sugar Land, Texas

    Volunteer
    Sugar Land Family Church
    • Bible Study Leader
    • Broadcast Team member
    • youth volunteer
  • 2012 - 2020

    Austin, Texas

    Servant Leader
    Harvest Missions Community Church (HMCC) of Austin
    • Community Summers Missions Project - 2016

Education

  • 2021 - 2024

    Ann Arbor, Michigan

    Master of Applied Data Science
    University of Michigan
    Applied Data Science
    • Supervised & Unsupervised Learning
    • Deep Learning
    • Natural Language Processing
    • Data Visualization
    • Causal Inference
    • Experiment Design
    • 38-credit graduate program at the University of Michigan School of Information, taught entirely in Python.
    • Completed milestone and capstone projects applying end-to-end data science — collection, processing, modeling, and communication — to real-world problems.
  • 2011 - 2015

    Austin, Texas

    Bachelors, Minors, Certification
    University of Texas
    Biochemistry, Business, Computer Science, Health IT
    • Minors in Business, Computer Science, and Information Technology.
    • Comprehensive training across organic, physical, analytical, and biological chemistry, with a quantitative foundation in calculus and laboratory research.

Awards

  • 2024
    Data Detective
    Capgemini

    A Data Detective is a highly analytical professional with a knack for uncovering the root causes of issues and identifying patterns hidden within complex and disparate datasets. This individual combines technical expertise with critical thinking to piece together information from diverse sources, constructing a clear narrative or solution where ambiguity once reigned. Their skill set often includes advanced data analysis, a deep understanding of business processes, and the ability to ask the right questions to get to the bottom of problems.

  • 2021
    Academic Scholarship
    University of Michigan
  • 2016
    Full-Marathon Finisher
    Austin
  • 2015, 2018
    Half-Marathon Finisher
    Austin

Publications

  • 2020
    The Innocence Initiative 2020
    Measure

    The Innocence Initiative is a collaborative effort to elevate the data, listen to the real-life stories of Black girls, and address disparities that perpetuate adultification bias through advocacy, training, and public awareness.

Skills

Data (Profecient): Data Analytics, Data Visualization, Data Engineering, Data Munging, Data Quality, Governance, Architecture
Consulting (Expert): People Management, Stakeholder Management, Strategy, Presentation, Technical Writing, Project Management, Cross-functinoal Collaboration, Decision Support
Information Technology (IT) (Expert): ITIL, Configuration Management Database (CMDB), ITSM, Cloud Computing, System Administration
Programming Languages (Expert): Python, SQL, JavaScript, Java, R, HTML/CSS
Python Frameworks (Expert): PySpark, pandas, NumPy, scikit-learn, PyTorch, Keras, Hugging Face
GenAI & AI Tools (Proficient): Claude, Google Gemini, GitHub Copilot
Cloud & Data Platforms (Expert): Databricks, AWS SageMaker, AWS Kinesis, AWS Glue, AWS Athena, AWS EC2, AWS ECR, Azure Machine Learning, Azure Synapse, Azure Data Factory
Applications (Expert): ServiceNow (IRE), IBM Apptio, MS Suite (Access, Excel, Visio, Power BI, Power Query), Tableau, Visual Studio, Docker, GIT, Trello

Languages

English : Fluent

Interests

Food: Cooking, Coffee, Baking

Certificates

Projects