Olalekan Akinola
Equity research, macroeconomic analysis and Python-driven valuation and risk analytics.
HFM Nigeria
Market research & financial education
- Research FX, commodities, equity indices and macroeconomic developments for daily analysis and weekly outlooks.
- Build a weekly Fundamental Bias Heatmap summarising directional drivers for clients and colleagues across major currencies and other asset classes.
- Delivered 40+ seminars across 10+ Nigerian states, with more than 5,000 client/trader interactions in the professional record.
- Produced 15+ YouTube market-analysis sessions and led live briefings and webinars explaining the macroeconomic and technical reasoning behind market views.
Counts are cumulative. No audited heatmap hit-rate or inferred total number of daily sessions is claimed.
Insight Research Institute
Research methodology & data analysis
Helped final-year undergraduate and master’s students develop research methodologies, analyse data using EViews and Stata, and interpret and present actionable findings.
Earlier roles
Flour Mills of Nigeria Plc · Data Entry Representative
March–May 2021 · Operational records and maintenance reporting.
D’branch Professional ICAN Center · Economics Tutor
January–March 2021 · Economics teaching, mock exams and revision plans.
Education
B.Sc. Economics · First Class Honours
Federal University of Agriculture, Abeokuta · Graduated 7 January 2021
Final examinations completed in 2019; project defence and clearance were delayed by COVID-19. Official graduation date: 7 January 2021.
CGPA 4.53 / 5.00. One of seven First Class graduates in a class of approximately 138. Thesis: FDI inflows and employment generation in West Africa.
Credentials
Investment Foundations Program
Python for Finance: Investment Fundamentals & Data Analytics · Udemy, August 2026
SQL for Data Analytics & Business Intelligence · Udemy, November 2024
Economics of Capital Markets · CFI
Financial Instrument Trading: Concepts & Analysis · MSBM, UK
Applied tools
Python: six company studies using pandas, NumPy, Matplotlib and Jupyter.
Excel: formula-driven Ferrari comparable valuation and sensitivity model.
EViews & Stata: research analysis at Insight Research Institute, 2019–2021.
SQL: normalised financial inputs, joins, CTEs and window-function analysis.