
Linda Cheruto
@lindacheruto
I improve customer outcomes through collections, portfolio analysis, and accurate data management.
What I'm looking for
At MOGO Kenya, I handle customer interactions, negotiate repayment arrangements, resolve payment concerns, and support account rehabilitation while meeting collection and service targets.
I've also analyzed loan eligibility at Demulla and migrated over 1,000 records at Hand in Hand Eastern Africa with 100% data integrity. My Applied Mathematics background supports my work with Excel, Python, data cleaning, reporting, and practical problem-solving.
Experience
Work history, roles, and key accomplishments
• Contact customers to negotiate repayment arrangements and facilitate timely debt recovery.
• Handle inbound and outbound customer interactions while maintaining professionalism and high service standards.
• Resolve customer concerns, complaints, and payment-related inquiries through effective communication and problem-solving.
• Build and maintain positive customer relationships while support
• Analyze borrower financial data to assess loan eligbility and repayment capacity.
• Review and validate financial documents to ensure data accuracy and compliance.
• Maintain and update loan records in internal databases.
• Use Excel for financial calculations, data tracking, and reporting.
• Worked closely with the Monitoring, Evaluation & Learning (MEL) and IT departments to migrate over 1,000 records from KOBO Collect to MIS, ensuring 100% data integrity during the transition.
• Used Excel tools such as VLOOKUP and Pivot Tables to match, organize, and verify datasets during migration.
• Regularly validated, cleaned, and updated data to maintain accuracy, reducing inconsistencies b
• Analyzed and visualized data using Python and Excel, creating actionable insights and reports.
• Applied regression analysis techniques to forecast electricity demand and generation, enhancing predictive accuracy.
• Performed data entry and data cleaning tasks to ensure accuracy and reliability of datasets.
• Utilized financial analysis techniques to support engineering project financing decisio
Education
Degrees, certifications, and relevant coursework
Jomo Kenyatta University of Agriculture and Technology (JKUAT)
Bachelor's degree, Applied Mathematics
2019 - 2024
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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