Ruth Wanzila

Data Professional with experience in data analysis, statistical modeling, and business intelligence. Skilled in data cleaning, transformation, visualization, and reporting using pandas, NumPy, SQL, Power BI, and Excel. Experienced in developing dashboards, automating reporting workflows, and generating actionable insights from complex datasets. Hands-on experience in machine learning model training, evaluation, and deployment, with exposure to deep learning and IOT workflows.

Data Analyst Trainee at Mwanco Magnate Digital Services & IT Solutions (2025-09 – Present)

• Develop and maintain interactive dashboards in Power BI and Excel for monitoring KPIs and operational performance.
• Automate reporting workflows using Python and Excel, reducing manual reporting effort by 40–60%.
• Perform data cleaning, validation, and transformation using pandas to produce analysis-ready datasets.
• Conduct trend and performance analysis to support operational decision-making and strategic planning.
• Translate business requirements into structured analytical reports and dashboards.
• Produce periodic reports (daily, weekly, monthly) for management decision support.

Data Science Intern at Mwanco Magnate Digital Services & IT Solutions (2025-05 – 2025-08)

• Performed data cleaning, preprocessing, and exploratory data analysis (EDA) using Python and SQL.
• Identified and resolved data quality issues including missing values, inconsistencies, and duplicates.
• Generated statistical summaries and visualizations to communicate insights to stakeholders.
• Supported development of analytical models for forecasting and pattern detection.
• Documented datasets, workflows, and analysis processes to ensure reproducibility.
• Prepared structured datasets for reporting, evaluation, and further analysis.

Data & Operations Clerk at Mwanco Magnate Digital Services & IT Solutions (2022-01 – Present)

• Collect, structure, and digitize client data from service interactions and interviews.
• Convert operational requests into structured datasets for reporting and analysis.
• Perform data cleaning and validation using Excel and Google Sheets to improve data accuracy.
• Maintain organized digital records to ensure data integrity and accessibility.
• Generate descriptive summaries and operational trend reports for decision-making.
• Conduct data quality checks before reporting to ensure consistency and reliability.

Bachelor of Science in Data Science – The Co-operative University of Kenya (2022-09 – 2026-12)

Kenya Certificate of Secondary Education – St. Marys Girls' High School – Igoji (2018-01 – 2022-04)