About
Innovative and results-driven Data Analyst with a strong foundation in data research, collection, wrangling, analysis, visualization, and forecasting. Proven ability to transform complex open-source datasets into actionable insights that support strategic decision-making, utilizing tools like Python, Power BI, Tableau, and SQL. Committed to leveraging analytical expertise to incorporate applied machine learning for predictive modelling, anomaly detection, and future applications in the defence sector.
Projects
→
Summary
Co-authored the Orbital Congestion Report (Women in Data & United States Space Force Datathon, 2025), to enhance space situational awareness and influence space security policy.
Highlights
Collected and analyzed large open-source datasets from multiple database (UDL Elsets, CelesTrak, SatCat) using pandas, NumPy, Matplotlib, and SciPy to extract satellite and debris data.
Identified high-risk orbital bands (700–1000 km debris belt, 500–600 km active–debris overlap), highlighting collision and conjunction risks from mega-constellations such as Starlink.
Informed strategic foresight by projecting ~28% CAGR in LEO satellites, surpassing 45,000 by 2030, underscoring the defense imperative for debris mitigation and orbital security.
Designed the Orbital Congestion Report to increase awareness on limited access to space data and participation in space initiatives, particularly of women and underrepresented groups.
→
Summary
Conducted comprehensive data analysis and forecasting for global energy investment trends, providing strategic insights to inform global energy policy and strategy.
Highlights
Performed Excel and Power Query analysis of IEA investment data (2019-2024) across seven global regions, forecasting 2025-2030 investment using CAGR models.
Built dynamic Power BI dashboards with DAX to track clean-energy investment trends, Year-over-Year growth, and SDG 7 progress by region.
Identified Asia-Pacific as the leading 2024 investor ($1.29T) and developed a conditional probability model (P=0.90) for achieving SDG 7.3 efficiency targets.
Delivered comprehensive insights on regional performance shifts and investment distribution, directly informing global energy policy and strategy discussions.
Volunteer
Our Future Agenda
|Engine Room Champion
→
Summary
Contributed to drafting the 2100 Learning Agenda, presented at the 2024 UN Summit of the Future, supporting global policy development.
Google Developer Groups on Campus
|3D Lead
→
Summary
Pioneered and led a 3D community, fostering skills in emerging technologies for approximately 40 students.
Journey House Actions
|Child Development Program Coordinator
→
Summary
Designed and managed a psycho-social development program providing pre-primary education for children aged 1-5.
Education
AltSchool Africa
→
Diploma
Data Analysis
Oduduwa University Ipetumodu
→
B.Sc
International Relations
Grade: 4.3/5.0 CGPA
Languages
English
Fluent
French
Conversational
Spanish
Conversational
Arabic
Conversational
Skills
Programming & Productivity
Python, DAX, Structured Query Language (SQL), GitHub, SQL Server, Microsoft Office Suite, Google Workspace, Canva, Notion.
Data Analysis & Visualization
Data Research, Data Collection, Data Wrangling, Google Colab, Jupyter Notebook, Forecasting, Tableau, Power BI, Microsoft Excel, Google Sheets.