Machine Learning United States

Madeline Ben Udowa

Miami, FL

*************@*****.*** www.linkedin.com/in/madeline-udowa

CAREER PROFILE

A seasoned AI and machine learning professional with strong analytical skills, adept at developing data reporting pipelines and supporting data-driven business decisions. Highly experienced in complex data analysis, statistical modeling, and database management, with proven ability to collaborate across departments, including product and marketing, to influence strategic business insights. Eager to apply expertise in data modeling and visualization at Klaviyo to drive impactful business solutions and enable successful decision-making. TECHNICAL SKILLS

• Programming Languages: Python 3.0, Jupyter Notebook with Python, C++, SQL

• Software: Google Cloud Platform, Apache Hadoop Ecosystem (Hadoop, Spark, Hive), Microsoft Office Suite (Excel, PowerPoint, Web Expression, Visual Studio), AutoCAD, Adobe Creative Cloud (Photoshop, InDesign, Illustrator, Dreamweaver), Android Studio, WinASM, WordPress, SPSS Statistics, OpenRefine, Tableau, Databricks, Power BI, Jira, Confluence

• Operating Systems: Windows, MacOS, Android, Microsoft Azure

• Data Analytics: Data Analysis, Data Modeling, Data Visualization, ETL Tools, Storytelling with Data, Relational Databases EMPLOYMENT EXPERIENCE

TD Bank Mar 2023 - Oct 2024 Software Engineer Florida, United States

• Conducted comprehensive trend analyses, providing insights that increased operational efficiency and resulted in 5% cost savings in key business units.

• Developed and maintained dynamic dashboards that improved visibility into performance metrics across business lines, reducing manual reporting time by 60%.

• Performed rigorous data validation to ensure the accuracy of business reports and compliance with industry standards.

• Collaborated with business units to define OKRs and delivered data-driven recommendations, influencing high-level strategic decisions.

TD Bank Nov 2022 - Mar 2023 Business Insights Analyst Florida, United States

• Streamlined data cleansing and integration across multiple software systems, reducing data preparation time by 30%.

• Built and optimized data pipelines for visualization and analytics, enhancing report generation speed using Tableau.

• Managed end-to-end data lifecycle in the cloud to improve data storage efficiency and reduce processing errors.

• Led data migration and cloud integration projects, reducing downtime by 50% and improving system reliability for critical business operations.

• Developed and executed strategies to enhance data lake integration, resulting in improved data accessibility for business units. TD Bank Jul 2022 - Nov 2022 IT Data Analyst Florida, United States

• Built and maintained scalable data models that enhanced enterprise data management, improving data accuracy and reducing processing time by 20%

• Implemented ETL processes that reduced data integration errors, ensuring seamless compliance with internal standards and external regulations

• Worked closely with development teams to troubleshoot and resolve complex data issues, cutting resolution times by 40% during critical system updates

• Designed and deployed business intelligence reports using Python and BI tools, increasing stakeholder access to key metrics by improving decision-making speed and accuracy

Exxon Mobil Jun 2019 - Sep 2019 Information Technology Intern Lagos, Nigeria

• Developed SharePoint solutions to automate and streamline documentation processes across departments.

• Trained in cyber security fundamentals and implemented secure practices to safeguard company data.

• Leveraged Azure DevOps for task management and progress tracking throughout the internship.

• Introduced new cloud-based software services to improve data storage and operational workflows. Knight-Capron Library Oct 2017 - Mar 2020 IT and Resources Help Desk Assistant Virginia, United States

• Resolved technical issues related to software and hardware for library users, enhancing user experience.

• Delivered troubleshooting and technical support for over 20 users daily, ensuring prompt resolution of tech issues.

• Documented technical issues to create a knowledge base for future reference, improving help desk efficiency.

• Managed hardware and software support across various devices, ensuring smooth operation within the library. EDUCATION

University of North Texas 2022 - 2022

Master of Science, Artificial Intelligence

• GPA: 3.81

• Coursework: Fundamentals of Artificial Intelligence, Software Development for Artificial Intelligence, Methods in Empirical Analysis (Data Analytics), Deep Learning, Feature Engineering, Introduction to Big Data and Data Science, Regression Modeling, Natural Language Processing, Data Mining, Harvesting, Retrieving and Storing Big Data University of Lynchburg 2020 - 2020 Bachelor of Science, Computer Science

• GPA: 3.16

• Achievements: Dean's List at University of Lynchburg

• Coursework: Architecture and Assembly, Data Structure and Abstract, Database Management, Internet Programming, Software Engineering, Digital Editing and Motion Graphics, Data Mining ENGINEERING PROJECTS

Harvesting, Retrieving and Storing Big Data course Deploying Big Data Technology in a Firm Mar 2022 - May 2022

• Designed and implemented a comprehensive big data deployment strategy for a firm.

• Preprocessed a dataset using Microsoft Excel and OpenRefine to clean and organize data for analysis. • Leveraged the Apache Hadoop Ecosystem (Hive/MapReduce and Spark) to retrieve key business insights.

• Used Google Cloud Platform to access the Hadoop ecosystem for scalable big data processing.

• Conducted a performance analysis to determine the most efficient tool between Hive/MapReduce and Spark.

• Delivered a detailed report outlining the deployment process and business implications. AWARDS/SCHOLARSHIPS

Dean's List at University of Lynchburg

• 2017-2018

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