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Project Manager | Risk & Data Analyst | Asset Management & IT Projects | Open Dreams Scholar
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With a solid background in programming which I developed through various projects completed as a freelancer and in companies. About 20 months ago, I began my journey in the world of Data Science. I have developed skills in Machine Learning, System Deployment, Analysis(Alteryx and SAS), and various data visualization software(Tableau and Microsoft Power Bi). The various projects I have worked on as an Intern at Data Analytics Center(DAC) have widened my skill set in the Data Science field.
Udacity
Nanodegree, Advanced Predictive Analytics nanodegree
November 1, 2020 – May 1, 2021
National Higher Polytechnic School of Douala
Master of Engineering - MEng, Intelligent Systems and Robotics Vision
September 1, 2015 – July 1, 2021
Career Break
Relocation
March 1, 2026 – Present
Canada
Harvest Asset Management
Risk Analyst and Project Manager
February 1, 2023 – April 1, 2026
Douala I, Littoral, Cameroon · On-site
Harvest Asset Management
Customer Service Representative and Client Delivery Associate
February 1, 2022 – June 1, 2023
Douala I, Littoral, Cameroon · On-site
BigTee Dev
Data Analyst
August 1, 2021 – May 1, 2022
Limbe, Southwest, Cameroon · Hybrid
Data Analytics Centre
Data Science Intern
October 1, 2020 – April 1, 2021
Marseille, Provence-Alpes-Côte d'Azur, France · Remote
Prediction of NCDs(Diabetes, Cancer prognosis and Cardiovascular diseases) using Machine learning and deployment on a web application, LIFE CARE
March 1, 2021 – July 1, 2021
This was my final year project on which I defended my Engineering diploma in Industrial Robotics majors in Intelligent systems and Robotics vision. The project was completed using the following: -Data collected through survey in the Douala neighborhood Softwares used included: -Alteryx Designer for data cleaning and blending -Julia programming language to build the Machine learning models, -JavaScript to build the API and -Genie web framework to deploy my model. The application build could predict the early onset of diabetes with a precision of 96%.
Cultural Fit Analysis
The candidate's background is heavily skewed towards data analytics, risk management, and project management within the financial services sector. While there's a project involving web application deployment, the core experience is not directly in backend software engineering. The target role of 'Backend Engineer' requires a stronger foundation in software development principles, system design, and specific backend technologies (e.g., Java, Python, Node.js, Go, database design, API development, microservices, cloud platforms). The current profile suggests a potential fit for roles bridging data and engineering, but a direct backend engineering role might require significant upskilling in core development practices. The diverse project experience, though not all directly backend, shows a breadth of exposure and willingness to tackle different challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through detailed project descriptions and experience in client-facing roles. Problem-solving is evident in diagnosing complex client needs and implementing corrective actions. Experience in cross-functional team collaboration (IT, compliance, marketing) indicates good operational fit for a team-oriented environment. The relocation to Canada suggests adaptability and a proactive approach to career development.