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Nairobi
jackson kahungu

jackson kahungu

Data Scientist/AI & Machine Learning Enthusiast

Banking / Loans

Nairobi, Nairobi Area

Social

Services offered

I am a results-driven Data Scientist with expertise in Python, R, SQL, and Machine Learning. With a strong background in statistical modeling, deep learning, and data visualization (Power BI, Tableau, Excel), I help businesses turn raw data into actionable insights.

πŸ† Certifications: Python, R, SQL (HackerRank) | Codility Gold Award
πŸ“Š Skills: Data Analytics | Machine Learning | Computer Vision | AI for Good
πŸ’‘ Passionate about: AI-driven solutions for business intelligence, financial analytics, and social impact

Let’s collaborate! I am open to freelance projects, consulting, and remote work. Connect with me today!

Loan officer
Data scientist
Approximate rate: USD$ 10 per hour

Experience

Loan Officer – Platinum Credit Limited (October 2024 – February 2025)

  • Processed loan applications, assessed creditworthiness, and provided tailored financial solutions using data analysis techniques.
  • Utilized Python and SQL to analyze customer financial data and generate insights for better decision-making.
  • Promoted loan products, consistently achieving sales targets and identifying new business opportunities.
  • Managed client relationships using CRM tools and data visualization to enhance customer experience and retention.

Intern – Amica Savings and Credit (July 2024 – September 2024)

  • Managed customer inquiries and cash/cheque operations, ensuring accuracy and efficiency.
  • Applied Excel, Power BI, and Python to reconcile general ledger entries and compile daily/monthly branch reports for performance analysis.
  • Developed automated reports and dashboards to track financial trends and operational efficiency.
  • Maintained organized filing systems and updated records, ensuring compliance through data validation techniques.

Education

Bachelor of Science in Statistics – Mount Kenya University (September 2021 – December 2024)

  • Graduated with a Second Class Upper Division, specializing in statistical modeling and data analysis.
  • Developed skills in Python, R, SQL, machine learning, and data visualization.

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