Key accomplishments

1. Loan Applicant Classification
–  Successfully developed a machine learning model to classify loan applicants into defaulter and non-defaulter categories.
–  Implemented data preprocessing techniques to enhance the model’s accuracy and reliability.
–  Contributed to risk assessment strategies hence aiding the organization in making informed lending decisions.

2. Employee Attrition Prediction
–  Designed and implemented a predictive model to forecast employee attrition within the company.
–  Utilized machine learning algorithms to identify potential turnover risks and provided actionable insights to the HR department.
–  Assisted in developing retention strategies, contributing to a more stable and productive workforce.

3. CBC App Data Analysis
–  Led the data processing efforts for the CBC App project.
–  Conducted Extract, Transform, Load processes on large datasets, ensuring data quality and integrity.
–  Generated valuable insights from the CBC App data thus empowering decision-makers with actionable information for strategic planning and improvements.

 

Role 1
Data scientist
Role 2
Machine learning engineer
Test Score
AI, Machine learning, Data Science
75%
Real estate and construction > housing and real estate
full-time 40-hours-per-week
Any
Graduate
Kenya
Any
NA
Remote
Willing to work for paid projects

Tags

Fintech

Education

Experience

Expertise

Data Analyst/Data Scientist
90

Languages

English
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