Slyviar Omutele
Data Scientist
Kisumu
Summary
Results-driven data professional working with different organizations as a consultant, skilled in Python programming and data analysis. Proven ability to enhance data quality and support strategic decision-making through insightful reporting. Adept at SQL and Excel, with strong problem-solving skills to optimize database performance and deliver actionable insights.
Overview
2
2
years of professional experience
Work History
Data Technician
Freelance
01.2026 - Current
- Input data accurately into databases and systems
- Collect data from forms, surveys, or internal records
- Ensure information is complete and properly formatted
- Identify errors, duplicates, and inconsistencies
- Correct inaccurate or missing data
- Maintain data quality standards
- Update and manage company databases
- Organize records for easy retrieval
- Ensure data is properly stored and archived
- Generate routine reports using Excel or database tools
- Summarize data for supervisors or analysts
- Support teams with basic statistics or dashboards
- Follow data protection policies
- Restrict unauthorized access to sensitive information
- Backup data regularly to prevent loss
SQL Developer (Entry Level)
Freelance
09.2025 - Current
- Use SELECT, WHERE, JOIN, GROUP BY, and ORDER BY statements
- Retrieve and filter data based on business requirements
- Extract datasets for analysts and management
- Insert, update, and delete records (INSERT, UPDATE, DELETE)
- Maintain data integrity and consistency
- Assist in keeping databases clean and organized
- Create new tables using CREATE TABLE
- Modify existing tables (ALTER TABLE)
- Define primary keys and basic relationships
- Create simple stored procedures for repeated queries
- Develop views to simplify complex joins
- Help automate recurring data tasks
- Provide data extracts for dashboards (Power BI, Tableau, Excel)
- Optimize queries for faster performance
- Troubleshoot basic database errors
- Improve slow queries using indexing
- Analyze query execution plans (basic level)
- Ensure efficient database performance
Junior Data Scientist
Faridi Sacco
03.2024 - 03.2026
- Build simple predictive models to identify members likely to delay or default on loans.
- Use historical loan repayment data to improve risk assessment.
- Support the credit team in making data-driven lending decisions.
- Clean and organize member data using Python (Pandas, NumPy).
- Segment members based on savings behavior, loan uptake, and transaction patterns.
- Help the SACCO design targeted products (e.g., salary earners, boda boda operators, teachers).
- Analyze trends in savings growth, loan book performance, and delinquency rates.
- Develop simple forecasting models for loan demand or deposit growth.
- Provide insights to management for strategic planning.
- Create visual reports and dashboards for management and the board.
- Present insights in simple, non-technical language.
- Support compliance reporting with accurate, data-backed summaries.
Education
INTRODUCTION TO DATA SCIENCE - DATA SCIENCE
MORINGA SCHOOL
ONLINE 04.2001 -
Skills
Customer service
Data cleaning
Python programming
Network configuration
Data validation
Excel expertise
SQL proficiency
Data analysis
Power BI skills
Database maintenance
Microsoft Excel
Microsoft office
Time management
Problem-solving
Timeline
Data Technician
Freelance
01.2026 - Current
SQL Developer (Entry Level)
Freelance
09.2025 - Current
Junior Data Scientist
Faridi Sacco
03.2024 - 03.2026
INTRODUCTION TO DATA SCIENCE - DATA SCIENCE
MORINGA SCHOOL
04.2001 -