Machine Learning Data Science

MARTIN UGBALA

www.linkedin.com/in/martinugbala- https://github.com/MartinDevOp ************@*****.*** PROFESSIONAL SUMMARY

I am a results-driven Programmer and Developer who architects and maintains scalable data pipelines—ingesting, transforming, and harmonizing complex datasets to drive AI-powered insights. With a background in Object-Oriented Programming, ETL development, big data processing, and analytics, I have built pipelines in Python, Java, and SQL and deployed them on cloud platforms. I am passionate about applying machine learning models and automation to revolutionize workflows in all industries. I thrive at the intersection of data engineering and AI.

EDUCATION

Master of Science in Artificial Intelligence, University of Houston-Downtown, Expected May 2027 Bachelor of Science in Information Science-Data Science, University of North Texas, June 2024 Relevant Coursework: Data Modeling and Warehousing, Data Visualization, Research Methods and Design, Principles of Data Science, Medical Informatics, Data Mining (CGPA: 3.846) Associate of Computer Science, Houston Community College, July 2022 SKILLS

Technical Skills:

• Programming Languages: Python, Java, C++, SQL, HTML, CSS

• Operating systems: Windows, Unix/Linux, Mac

• Data Tools: Pandas, Oracle, MSSQL, ETL, GitLab, GitHub, Linux Commands, MySQL

• Machine Learning & AI: Regression and Classification modelling, RapidMiner, AWS (Lambda, S3), IAM, OpenAI API, Azure AI Foundry.

• Soft Skills: Communication, Leadership, Problem-solving, Analytical, Time-management EXPERIENCE

Programmer Analyst II

University of Texas, School of Dentistry Houston, TX May 2022 - Current

• Supported dental research efforts by developing extract scripts, resulting in over 100% increase in completed data requests.

• Extracted and validated research data from MS SQL Server and Oracle SQL, achieving a 30% reduction in data retrieval errors.

• Assisted with compliance testing, ensuring 100% compliance with project requirements.

• Led a quality improvement project utilizing NLP algorithms, which increased adverse event detection accuracy in dental notes by 40%.

• Supported ETL pipeline by automating SQL transactions and creating Cron jobs to enhance data migration efficiency by 50% EDI/Data Analyst

BigData Energy Services Houston, TX Dec 2021 - Feb 2022

• Migrated large data transactions to a data warehouse, achieving a 95% success rate using an AWS S3 bucket.

• Tested transactions for volumetric concerns, achieving a 100% success rate.

• Improved the company’s accuracy in data migration tools and provided comprehensive reports to directors.

• Documented all data integration and Analysis process. CERTIFICATIONS

Business Analysis for IT Professionals

Houston, TX March 2021

Software Engineering (Java, SQL)

National Institute of Information Technology (NIIT), Lagos February 2017

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