Modupeola Fagbenro is a Data Science -Engineering with 4+ years of experience in analytics, experimentation, optimization and machine learning applications that drive measurable business growth. With an MS in Data Science from George Washington University and hands-on experience at Amazon and other organizations, she has developed systems that reduced execution time and compute costs by 25%, built pricing optimization models that increased profitability by 40%, and designed analytics solutions that delivered significant business impact through A/B testing and data-driven experimentation across customer analytics, predictive modeling, revenue and data pipeline optimization. Modupeola excels at the intersection of technical depth and business strategy, whether forecasting revenue with statistical models, designing experiments that optimize customer experiences, or building AI systems for research applications. Her graduate research focuses on agentic AI systems and large language model (LLM) applications, reflecting her commitment to staying at the forefront of the field. Beyond her technical work, she is passionate about making data science accessible and impactful through her involvement in the women in data science community as a mentor and advocate for diversity in tech.
My Resume
Work Portfolio:Data Science-->ML and GenAI.
Data Analysis & Business Intelligence ProjectsDetailed analysis of Udemy course sales patterns and performance metrics, providing insights into course popularity, revenue trends, and student engagement.
Comprehensive analysis of development indicators across West African countries, focusing on population growth, inflation, trade, technology, GDP, and tourism trends from 1999-2022.
Data Science-ML Analytics & Predictive Projects
Comprehensive machine learning platform analyzing Brazilian e-commerce data to drive business insights. Built production-ready models for price prediction, delivery optimization, order classification, and customer churn prediction, achieving exceptional performance across all metrics. 112K+ Transactions, 4 ML Models, 98% Customer Churn Accuracy
GenAI & Language Models/ Deep learning Projects
AI research assistant using RAG(Retrival Augmented Generation) to analyze medical research paper. Built with Ollama LLM and ChromaDB vector database for semantic search. Enables healthcare professionals to quickly access and analyze medical research with real-time responses through a Streamlit interface.
A transfer learning project using ResNet50 to classify natural scene images with high accuracy. Implements deep learning techniques through TensorFlow/Keras for robust image categorization. Framework used: TensorFlow with KERAS API
Developed an AI-powered news article generator using state-of-the-art language models. The system creates high-quality, contextually relevant news articles based on input topics and key information, demonstrating practical applications of NLP in content generation.
Programming & Databases
Machine Learning & AI
Statistical Analysis & Experimentation
Data Engineering & Cloud
BI & VisualizationFocused on Data Analytics, Data Science, machine learning and artificial intelligence, with expertise in natural language processing, statistical modeling, and optimization. Research spans data optimization, Generative AI-Agentic Systems, sentiment analysis, and predictive modeling.
"Lecturers' Adoption of Google Apps for Education"
Undergraduate Research, 2020"Improved Multi-Agent Knowledge Sharing System using Knowledge Graphs for News Bias Detection and Fact-Checking"
Graduate Research, 2025I write about Data Science, Machine Learning, and AI on Medium. Here are some of my featured articles:
A deep dive into transfer learning using ResNet50 for image classification, explaining the implementation and best practices.
Explore more of my technical writing covering various topics in data science, machine learning, and artificial intelligence.
Actively seeking roles as a Data Analyst, BI Engineer, Data Scientist, Junior Machine Learning Engineer, or GenAI Specialist. If you have opportunities, questions, or just want to connect, feel free to reach out!
