Data Analytics Specialist with AI Focus

Goodness Rex Nze-Igwe

*************@*****.*** Louisville, KY 802-***-**** My Portfolio

Summary

Data Analyst with dual master’s degrees (Business Analytics – AI concentration, and English Literature) and 3+ years of experience in SQL, Python, and machine learning. Skilled in PySpark, NLP, and dashboard development (Power BI, Tableau) with proven success in delivering predictive models, process automation, and business insights. Adept at working with cloud platforms (AWS, Azure), data pipelines, and Git for version control. Passionate about applying advanced analytics to real-world challenges in healthcare, education, and consumer industries. EDUCATION

University of Louisville August 2024 - July 2025

Master of Science in Business Analytics (Artificial Intelligence concentration). Louisville, KY Course work: Data-Driven Decision Making, Business Analytics Strategy, Statistics, Data Visualization, Natural Language Processing, Cloud Computing for Analytics. University of Vermont August 2022 - May 2024

Master of Arts in English Literature Burlington, VT Course work: Research, Literary Theory and criticism SKILLS

Programming & Databases: Python, SQL (T-SQL, MS SQL Server), R, Java; OOP principles; Git/GitHub

Big Data & ETL: PySpark, Spark, DBT (learning), SSIS concepts, Databricks familiarity

Machine Learning & NLP: Random Forest, Logistic Regression, SVM, TensorFlow, NLP (NER, fuzzy matching, query classification), ontology/taxonomy alignment

Visualization & Reporting: Power BI, Tableau, Excel, Google Analytics

Cloud Platforms: AWS, Azure, Snowflake (introductory use, quick learner)

Business & Collaboration: Agile methods, stakeholder communication, process improvement, data quality assurance EXPERIENCE

Catie’s Cause (Public Health Nonprofit) Remote/US

Analytics & AI Project Engineer (Volunteer) Sep 2025 – Present

Build an AI chatbot powered by generative AI to answer common medication safety questions.

Use data dashboards to measure the impact of educational campaigns on public awareness.

Prototype public health tools such as medication tracking prompts to improve patient safety.

Create educational content (blogs, infographics, visuals) using generative AI to support awareness.

Role merges AI innovation with public health impact, reinforcing experience in healthcare-focused data stewardship and system usability.

University of Louisville United States

Data Analyst Oct 2024 – July 2025

Improved international student admissions forecasting accuracy by 20% using Random Forest & Logistic Regression.

Built interactive dashboards (Power BI, Tableau) to track KPIs and support decision-making.

Applied PySpark to manage and process admissions data pipelines.

Validated predictive models and reports to ensure data accuracy and stakeholder trust.

Translated complex technical findings into presentations for non-technical teams. Concept Collection Remote

Data Analyst May 2024 – Aug 2024

Automated data cleaning and extraction with Python, cutting reporting errors by 15%.

Delivered SQL- and Power BI–based workforce dashboards to monitor team productivity.

Conducted trend analysis to identify efficiency gaps and improve workflows by 10%.

Documented reporting pipelines to support long-term maintainability. University of Vermont United States

Graduate Assistant. Data Reporting Aug 2022 - May 2024

Conducted data validation and analysis of applicant records, ensuring clean, reliable datasets.

Designed reports and visualizations to improve admissions operations.

Facilitated stakeholder workshops and implemented new data reporting processes. Federal Capital Territory Administration

Jnr. Business System Analyst Sep 2020 - Aug 2022

Utilized SQL to prepare and support data reporting for management teams.

Collaborated on automation projects, reducing manual processes and system bugs by 25%.

Created documentation and user guides to improve system adoption. PROJECTS

Heart Disease Prediction Modeling Python, SQL, Tableau, PySpark Feb – Apr 2025

Processed 1.3M patient records using Spark to train ML models.

Identified high-risk patients with Random Forest & SVM, enabling early intervention.

Presented predictive insights in a Tableau dashboard for clinical decision support. AI Medication Safety Chatbot Python, NLP, Generative AI Sept 2025 – Present

Developed an AI-powered chatbot to provide safe-use guidance on acetaminophen and other medications.

Applied NLP for entity recognition, fuzzy matching, and hierarchical taxonomy classification to ensure accurate responses.

Integrated educational datasets (FDA, WHO, ISMP) for verified outputs.

Reduced user response time for medication safety questions and supported public health awareness campaigns. Customer Satisfaction Dashboard Power BI, SQL, Excel Oct 2024 – Jan 2025

Designed a KPI dashboard to monitor service requests, feedback sentiment, and satisfaction scores.

Provided leadership with actionable insights to improve service quality.

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