Mofe Akinola

Mofe Akinola

$10/hr
AI-powered analytics and automation for smarter decisions in finance and energy sectors.
Reply rate:
-
Availability:
Hourly ($/hour)
Location:
Lagos, Lagos, Nigeria
Experience:
4 years
Moferanoluwa Akinola |-| Portfolio: https://mofeeakin.github.io/MofeAkinola.github.io/ ANALYST Professional Summary Analyst & Energy Economist exploring the intersection of analytics, automation, and intelligent systems. Multidisciplinary background in financial analysis, market intelligence, and project controls, developed through hands-on experience in the energy, construction, and finance sectors. Currently building advanced skills in SQL, Python, Power BI, and Microsoft Azure (AI Engineering), while actively pursuing a career path in Analysis, Machine Learning/Deep Learning Engineering, and AI Automation. Passionate about using AI-driven tools and data storytelling to drive smarter decision-making and process efficiency. Technical Skills • Data Analysis & BI: SQL, Python (Pandas, NumPy, Scikit-learn), RStudio, Power BI, Tableau • AI Engineering & Automation: Microsoft Azure AI Services, Generative AI, Visual Studio Code • Market Intelligence & Forecasting: Regression Analysis, Commodity Trading, Market Trend Analysis • Financial Analytics: Forecasting, Budgeting, Risk Assessment, Financial Modeling, Microsoft office • Project Controls & Management: Primavera P6, Planning, Budgeting & Risk Management • Web Development: HTML, WordPress Professional Experience Junior Financial Analyst Atiat Limited, Lagos, Nigeria | September 2024 – March 2025 • Developed scenario & sensitivity models and dashboards assessing inflation, FX, and interest rate impacts on PAT and ROA. • Conducted operating and revenue analysis using historical financial statements of a Nigerian finance company. Project Controls Analyst Linesight, London, UK | March 2023 – April 2024 • Developed and executed project controls strategies (scheduling, risk management), leading to a 20% reduction in project timeline deviations. • Analyzed and managed project schedules using Primavera P6 enhancing scope & change management protocols, improving budget adherence and project efficiency. Market Intelligence Analyst (Intern) Nigerian National Petroleum Corporation (NNPC), London Office | August – September 2021 • Produced comprehensive oil market reports, analyzing global trends to inform NNPC’s senior leadership and key stakeholders pricing strategies. • Conducted benchmarking analysis on Brent & WTI crude prices, improving price forecast accuracy by 10%. Junior Exploration Geologist Pan Ocean Oil Corporation, Lagos, Nigeria | March – December 2019 • Developed structural & stratigraphic models using Petrel, optimizing exploration resource allocation. • Enhanced data management systems, integrating ArcGIS Pro for improved spatial analysis, boosting operational efficiency by 25%. Junior Operations Manager Multiserve Limited, Lagos, Nigeria | February – August 2017 • Managed industrial borehole & wastewater treatment projects, ensuring on-time & within-budget delivery, reducing cost overruns by 30%. • Maintained 75% client satisfaction by implementing transparent project tracking & reporting systems. Education MSc International Energy Studies & Energy Economics University of Dundee | 2021 – 2022 • Specialized in Business Analytics, Low Carbon Transition Economics, Petroleum Policy, and Commodity Trading. • Developed regression models in RStudio for energy market analysis & forecasting. BSc Geology Afe Babalola University, Ado-Ekiti | 2015 – 2018. Certifications • • • • Microsoft Certified: Azure AI Engineer Associate AI & Automation Specialist – Transformation College Diploma in Business Analysis, Project Management & ISO Management Systems Data Analysis Certification – IJAN Africa Key Projects Renewable Energy Usage Predictor App (2025) link Tools: Python, Scikit-learn, Streamlit • Created a predictive app to forecast renewable energy usage by sector and source using historical data.. • Supports energy planning by projecting sector-specific renewable demand and guiding resource allocation. AI-Powered Research Assistant for Energy & Finance (Project Y) (In Progress) Tools: Azure OpenAI, Python, Cognitive Search, Power BI • Built an AI assistant using RAG architecture to automate research in energy and finance domains. • Integrated sentiment analysis from public data to monitor investor confidence and market trends. Soft Skills • Analytical Thinking • Team Collaboration • Adaptability • Effective Communication • Leadership • Creativity Languages • English • Yoruba Additional Information • Interests: European Football, Badminton, Table Tennis, Film, Cooking • References: Available upon request
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