Christine Matinde

Data Analyst with a background in Statistics and Programming, experienced in data cleaning, analysis, and visualization using Python, SQL, Excel, and Power BI. Proven ability to explore datasets, identify trends, and present insights through reports and dashboards. Skilled in applying analytical techniques and structured workflows to transform raw data into meaningful information. Eager to contribute to data-driven projects and grow within a data analytics role.

Data Analytics Projects at Forage Simulation (2025-09 – 2025-12)

Virtual data analytics simulation projects involving real-world business decision-making scenarios

• Cleaned and analyzed datasets using Python, SQL, and Excel to identify trends and generate insights across business scenarios
• Conducted exploratory data analysis (EDA) and created visualizations in Power BI and Jupyter Notebook
• Developed data-driven reports and recommendations simulating real-world business decision-making
• Applied structured analytical workflows including data cleaning, transformation, and visualization

Freelance Researcher and Analyst at Upwork (2021-05 – 2025-09)

Freelance data analysis and research work on various community and research datasets

• Collected, cleaned, and analyzed survey and research data using Excel and SQL to identify trends and support data-driven decision-making
• Conducted data analysis on community and research datasets, generating insights used in reports and presentations
• Designed visualizations and dashboards in Excel to communicate findings clearly to stakeholders
• Performed data cleaning and validation to ensure accuracy and reliability of datasets
• Delivered structured reports and recommendations based on data analysis

Part-Time Research Assistant at Ahero Resource Center (Nyando CBO) (2022-03 – 2023-12)

Research assistant role conducting literature reviews, surveys, and data analysis for community development

• Conducted literature reviews, interviews, and surveys to gather community data
• Cleaned and analyzed survey datasets using Excel to identify trends in agricultural productivity
• Created reports, dashboards, and PowerPoint presentations to communicate insights to stakeholders
• Generated actionable recommendations for community development strategies

Data Science Training - ALX Africa (March 2025-April-2026)

BSc in Statistics and Programming – Kenyatta University Main Campus (August 2016-July 2023)