Modamori Oluwayomi Felix
Data Scientist
Kamloops,BC
Summary
Oriented Data Scientist with a proven ability to turn complex data into strategic insights and predictive models. Skilled in machine learning, statistical modeling, geospatial analysis, and process automation using Python, SQL, ArcGIS Pro, and modern AI tools.
Overview
7
7
years of professional experience
6
6
years of post-secondary education
Work History
Research Assistant
Thompson Rivers University
01.2022 - 02.2025
- Built a predictive model using lightning and temperature data, achieving 90% accuracy in identifying high-risk wildfire zones for rapid response.
- Performed geospatial analysis with ArcGIS Pro and QGIS to optimize fire weather station placement and automate FWI calculations.
- Streamlined environmental data workflows in Python, increasing processing efficiency by 30%.
- Restructured Liver Cancer Algorithm (LCA) with spiral updates, resulting in a 15% increase in wildfire feature selection accuracy and a corresponding decrease in false positive predictions.
- Integrated GPT-3.5 API into a Python pipeline, reducing wildfire report curation time by 20% and enriching ML datasets.
- Collaborated on meta-heuristic algorithm development and validation for scalable wildfire prediction models
iOS & API Developer
MTN Nigeria
02.2020 - 01.2021
- Enhanced mobile data analytics capabilities by integrating user behavior tracking within MTN's iOS app, enabling data scientists to identify and fix the three biggest causes of crashes.
- Designed and integrated RESTful APIs to connect front-end apps with back-end systems, improving data flow efficiency by 20%.
- Optimized web and mobile performance, achieving 95% load time and bandwidth efficiency through code reviews and testing.
Junior - Intern Developer
Asset & Resources Management Holding Company
05.2018 - 09.2018
- Improved code quality with 85% coverage across projects using Python unit tests, minimizing bugs.
- Increased website traffic by 10% via JavaScript-based SEO enhancements and performance tuning.
- Built email automation scripts in Python, boosting digital campaign efficiency and customer reach.
Education
Master Of Science - Environmental Science & Data Science
Thompson Rivers University
Kamloops, BC 01.2022 - 02.2025
Bachelor of Science - Computer Science / Computational Mathematics
University Of Saskatchewan
Saskatoon, SK 10.2016 - 02.2020
Skills
Data Science & Analysis
Statistical techniques
Machine learning
Data preprocessing
Visualization
Programming Languages
Python
Swift
TensorFlow
PyTorch
SQL
GitHub
Geospatial Analysis
ArcGIS Pro
Back-end technologies
Lab testing
Research Interests
- Climate Phenomena
- Wildfire Science
- Nano Exposure Assessment
- Large Language Models (LLM)
- Convolutional Neural Network
- Natural Language Processing (NLP)
- AI for Cybersecurity
- Environmental Impact Assessment
Accomplishments
- Presented wildfire prediction model findings to the FireBC Committee, showcasing a machine learning-based system for early wildfire risk detection and mitigation strategies.
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Research Assistant
Thompson Rivers University
01.2022 - 02.2025
Master Of Science - Environmental Science & Data Science
Thompson Rivers University
01.2022 - 02.2025
iOS & API Developer
MTN Nigeria
02.2020 - 01.2021
Junior - Intern Developer
Asset & Resources Management Holding Company
05.2018 - 09.2018
Bachelor of Science - Computer Science / Computational Mathematics
University Of Saskatchewan
10.2016 - 02.2020