Summary
Overview
Work History
Education
Skills
Research Interests
Accomplishments
Work Availability
Timeline
Generic
Modamori Oluwayomi Felix

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

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
Modamori Oluwayomi FelixData Scientist