Denzil James Greenwood
- Email: Denzil.James.Greenwood@outlook.com
- Phone: 580-276-6038
- Location: Marietta, Oklahoma
- LinkedIn: LinkedIn Profile
Professional Summary
Analytically driven and results-oriented Data Analyst with a comprehensive background in data analytics, project management, compliance, and a focus on Artificial Intelligence (AI) and Data Science. Highly proficient in a broad array of data analysis techniques and tools, with recent certifications in machine learning, AI, and data science. Demonstrated success in driving process improvements, optimizing operational efficiency, and influencing strategic business decisions through data-driven insights. Adept at using advanced data analytics to solve complex problems, ensure regulatory compliance, and support strategic planning and execution.
Skills
Technical Skills
- Programming Languages: Python (NumPy, Pandas, Flask, Scikit-Learn), R
- Data Science & ML: EDA, Feature Engineering, Model Development, Statistical Analysis, Supervised/Unsupervised Learning, Neural Networks, Deep Learning (PyTorch)
- Development Tools: Jupyter, RStudio, GitHub, CI/CD (GitHub Actions)
- Data Visualization: Matplotlib, Seaborn, R Visualization
- Database Management: SQL, Data Mining
- AI & Automation: IBM Watson, Chatbot Development, AI Prompt Engineering
Project Management
- Risk Management: Implementing risk identification and mitigation strategies.
- Stakeholder Communication: Maintaining transparent communication channels with stakeholders to ensure project alignment and satisfaction.
Professional Attributes
- Strategic Planning: Expertise in setting strategic goals and outlining actionable plans.
- Effective Communication: Strong ability to convey ideas clearly and persuasively.
- Team Leadership: Skilled at leading and motivating teams to exceed their objectives.
Projects
Project 1: Home Loan Denial Analysis
- Description: Developed a comprehensive analysis of home loan denials using Python and various data analysis techniques. Implemented a data pipeline for cleaning and processing the data, performed exploratory data analysis, and built predictive models to identify key factors leading to loan denials.
- Technologies: Python, Pandas, Scikit-Learn, Matplotlib, Seaborn
- GitHub Repository: Home Loan Denial Analysis
Work In Progress
Project 2: Practical AI & Machine Learning Projects and Datasets
- Description: Developing a language model (LLM) to enhance natural language understanding and generation capabilities. The project involves training the model on diverse datasets, fine-tuning for specific tasks, and deploying it for real-time interactions. Additionally, integrated backend systems for efficient data retrieval and seamless user interactions.
Project orign: Vincent Granville, Ph.D. | www.MLTechniques.com | Version 4.0, March 2024, Practical AI & Machine Learning Projects and Datasets
Technologies: Transformers, Python, Flask, HTML/CSS
- GitHub Repository: LLM Development
Work inprogress
Project 3: AI-Based Image Generation
- Description: Built an AI-based application to generate images and create compelling stories around them. Utilized GANs for image generation and NLP models for story creation.
- Technologies: Python, TensorFlow, GANs, NLP
- GitHub Repository: AI-Based Image Generation
Selected Professional Experience
Volunteer Project Manager (2014 - Present)
- Led and executed multiple home renovation projects, improving quality of life for occupants and managing resources effectively to meet project deadlines and budgets.
- Managed end-to-end project delivery for a General Contractor, successfully overcoming complex logistical and financial challenges to deliver high-quality results.
Implementation Support Supervisor, Chickasaw Nation (Jul 2013 - Mar 2014)
- Spearheaded the successful adoption and implementation of enterprise projects, fostering interdepartmental collaboration and leveraging data analytics to track project progress and performance.
- Utilized data-driven insights to support decision-making processes, enabling the organization to achieve its strategic objectives and improve operational efficiency.
Compliance Specialist, Chickasaw Nation (Jun 2007 - Jul 2013)
- Conducted comprehensive audits using advanced data analysis techniques to ensure compliance with regulatory standards and improve business processes.
- Developed and presented detailed reports and actionable recommendations to senior management, resulting in enhanced compliance and operational effectiveness.
Education
Master of Science in Data Science (In Progress)
- University of Colorado at Boulder (Online)
- Relevant Coursework: Advanced Statistical Methods, Machine Learning Algorithms, Big Data Analytics, Predictive Analytics
Computer Science (Incomplete)
- Murray State College (2001-2002, 2013-2014)
- GPA: 3.0
Certifications
- Microsoft Certified: Azure Data Science Associate (Dec 2023)
- Microsoft Certified: Azure AI Engineer Associate (Dec 2023)
- Microsoft Certified: Azure AI Fundamentals (Oct 2023)
- Coursera Google: Advanced Data Analytics (Oct 2023)
- Coursera Google: Data Analytics Professional Certificate (Sep 2023)
- Coursera IBM: Applied AI Professional Certificate (Aug 2023)
- Coursera IBM: Data Analyst Professional Certificate (Aug 2023)
- Pearson Vue: A+ Computer Hardware
Links to Digital Badges & Profiles