Passionate about data analytics, predictive modelling, and market research

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Portfolio

This section outlines a selection of my ongoing and completed projects. Over the years, I have harnessed data to support businesses in deriving meaningful insights that inform profitable decision-making, promote sustainability, and enhance operational efficiency. In the course of my work, I have engaged with a wide range of structured and unstructured data formats, including CSV files, text documents, social media messages, images, PDF files, audio and video content, web scripts, and JSON files. I have utilised my expertise in Excel, SQL, Python, R, GitHub, Power BI, Amazon Web Services, HTML, CSS3 and JavaScript, together with advanced statistical and econometric techniques, to deliver practical and effective solutions across a range of projects.

Some of the services I render include:

  • Data and Business Analytics
  • Data Engineering and Workflow Automation
  • AI and Machine Learning Model Development, Testing, and Deployment
  • Statistical and Econometric Analysis
  • Software Testing, Market, and Consumer Research
  • Advisory services on house purchase, stock, and forex market investment

Heathrow Airport Dashboard

House price prediction in Norwich using MLOps

Ongoing

System Thinking

My Website

Point-of-Sale System

Selected Publications

About Me

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Yusuf is an experienced economist and data scientist with over 7 years of expertise conducting cutting-edge, evidence-based research. His work focuses on informing policy decisions related to global development issues, including job creation, financial markets, investment, social protection, resource governance, economic growth, climate change, education, health, and nutrition.

He previously held both junior and senior research positions at the Norwich Business School and the School of Economics, University of East Anglia, United Kingdom. His work focused on Python programming for finance modules and data management. In these roles, his primary responsibilities included contributing to the development of teaching materials for finance-related courses, with particular emphasis on the application of Python, as well as designing and implementing data architecture to support the sourcing and management of data for research and project work.

Yusuf possesses a broad range of expertise, including data analysis, market research, sentiment analysis, big data analytics, business and economic analysis, macroeconomic forecasting, machine learning, behavioural finance, and understanding policies, institutions, and markets.

In addition to his analytical skills, Yusuf is proficient in software tools including Python, R, SQL, PowerBI, Tableau, Amazon Web Services, and Microsoft Office Tools.

With a strong commitment to evidence-based decision-making and a passion for leveraging data-driven insights, Yusuf strives to contribute to sustainable development initiatives. He aims to drive positive change by providing valuable recommendations and influencing policy decisions.

Yusuf holds a 2:1 Bachelor's Degree in Economics from the University of Ibadan and a Master's Degree in Behavioural Economics and Data Science (with Distinction) from the University of East Anglia, United Kingdom. He is actively seeking opportunities to collaborate on impactful projects and engage in meaningful work. He welcomes connections to explore potential collaborations and discuss how his expertise can be applied to address pressing global challenges.