Data science, data analytics, machine learning engineering, Cloud engineering


Ministry of Economic Planning and Budget (Apr 2019 to May 2020)

Analyzed economic data and identified factors that affect household income to ensure fair distribution of resources in Lagos communities.
Recommended decisions to top management for economic planning and budget
Built a machine learning predictive model with a great prediction model for income prediction
Built a machine learning classification model for optimizing allocation mode and creating and establishing fairness in fund disbursement

Reliance Health (May 2019- May 2020)

Ensured all functions of insurance chain are optimized through data driven decision making processes.
Analyzed clinical data to reduce medical variabilities and analyzing medical imaging for diagnosis.
Also deployed machine learning model on for public access for medical diagnostics and advice.

Keystone Bank Nigeria Limited (June 2020 to June 2022)

Built machine learning models to predict loan defaults and assets based on the bank resources and implemented machine learning in spam email detection.
Implemented classification supervised models to classify loan risks based on customers credit score and other historical account metrics.
Built machine learning and Artificial intelligent services that enhance detection of fraudulent activities in applications while controlling false positive alerts for better customers experience.


In my new role, I will likely work closely with cross-functional teams, such as software engineers, product managers, and business stakeholders. I may also be responsible for identifying key metrics and building dashboards to track the performance of various business functions. I expect to constantly learn and evolve your skills, as the field of data science is rapidly changing. Staying up-to-date with the latest techniques and technologies will be critical to your success in the role.

Employment Preferences
Expected Base Salary

**,000 USD

Academic Degree

Total Professional Experience

5 years

Startup Experience

5 years

Big-Tech Companies

no experience

Enterprise Experience

3 years
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