Abdus-salam Nabiyy-rhamat Ayomiposi
@abdus-salamnabiyy-rh
I build machine learning, geospatial, and data pipelines for practical real-world decisions.
What I'm looking for
I've built data-driven projects spanning solar-energy planning, restaurant expansion intelligence, e-commerce extraction, and financial document analysis. My climate research used 30 years of ERA5 data and Ridge and Logistic Regression to predict Nigerian heatwave occurrence with 94% classification accuracy.
I work with Python, SQL, Scikit-learn, geospatial tools, ETL workflows, and reproducible analysis. From a GeoPandas pipeline covering 100+ Ibadan wards to a Dockerized Scrapy pipeline for Jumia Nigeria, I turn complex data into usable insights and automated workflows.
Experience
Work history, roles, and key accomplishments
Freelance Data Scientist
Student Research Projects
Sep 2024 - Oct 2024 (1 month)
Analyzed 30 years of solar radiation and cloud cover data to assess solar energy viability across Ondo and Kano States, applying Mann-Kendall trend tests and correlation analysis. Produced insights indicating higher solar potential in Kano State.
Education
Degrees, certifications, and relevant coursework
Federal University of Technology, Akure
Bachelor of Technology, Meteorology and Climate Science
2018 - 2024
Grade: Second Class Upper Division (3.7/5.0)
Pursued a Bachelor of Technology in Meteorology and Climate Science, graduating with Second Class Upper Division (3.7/5.0).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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