Folashade Ojo
@folashadeojo
I turn subsurface and well data into actionable insights using Python, Power BI, and geological interpretation.
What I'm looking for
I've supported Chevron Nigeria Limited's JV Offshore Team by analyzing subsurface and well datasets for future drilling and field-development decisions.
I cleaned and synthesized technical data from multiple sources, contributed insights for project optimization, and built a Microsoft Power Apps automation solution integrated with Dataverse. I also designed Power BI dashboards that made technical data easier to monitor, report, and use in decision-making.
At AnalystLab, I'm applying Python, pandas, NumPy, Matplotlib, and Seaborn to exploratory data analysis, statistical analysis, data cleaning, feature analysis, and Jupyter Notebook reporting.
I'm an award-winning geologist, earning first position in WiGE and NAPE hackathon projects focused on data science and machine learning. I'm motivated by applying AI, predictive modeling, and geoscience data to real-world challenges.
Experience
Work history, roles, and key accomplishments
Data Science Intern
AnalystLab
May 2026 - Present (3 months)
Performed exploratory data analysis and cleaning on real-world datasets using Python libraries, and conducted statistical analysis to derive actionable insights.
Analyzed subsurface and well datasets to support drilling decisions, developed a low-code automation app, and designed Power BI dashboards for decision support.
Education
Degrees, certifications, and relevant coursework
University of the People
Bachelor of Science, Computer Science
Pursuing a Bachelor of Science in Computer Science, expected to complete in 2026.
University of Benin
Master of Science, Petroleum Geology
Grade: Distinction
Earned a Master of Science in Petroleum Geology with Distinction from the Centre of Excellence in Geosciences and Petroleum Engineering.
Adekunle Ajasin University
Bachelor of Science, Geology
Grade: Second Class Upper Division
Earned a Bachelor of Science in Geology with Second Class Upper Division.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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