Passionate about data analytics, predictive modelling, and market research

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all my projects and as well provide a feedback.

Portfolio

This section highlights some of my ongoing and completed projects. Please feel free to interact with them. Do not hesitate to contact me with any observations or questions. My work primarily aims to use data to derive meaningful insights that aid profitable decision-making without harming the environment. In the course of my work, I have interacted with, mined, and wrangled various forms of structured and unstructured data, including CSV files, text files, social media messages, images, PDF documents, audio and video files, web scripts, and JSON files, among others. I have utilised my knowledge of Excel, SQL, Python Programming, R Programming, GitHub, Power BI, Amazon Web Services, HTML, CSS3, and JavaScript, in addition to high-level statistical and econometric techniques, to undertake useful projects.

My current endeavour focuses on developing machine learning procedures to understand algorithmic trading across different stock markets. In the course of building useful predictive models, my activities also extend to report writing and communicating findings in a simpler manner that fosters effective decision-making. And yes, I am also equipped with the knowledge to ensure that programming code is converted into a production environment in the form of an app for wide accessibility and scaling.

Heathrow Airport Dashboard

House price prediction in Norwich

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 served as a Research Assistant in the School of Economics at the University of East Anglia in the United Kingdom, specializing in Python programming for finance modules. In this position, his primary responsibility is to contribute to the development of teaching materials for finance modules, with a specific focus on utilizing Python.

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.