Open to opportunities

Stanley Mudasia

@stanleymudasia

I am a Swahili–English bilingual with a background in Applied Statistics and IT, skilled in language accuracy, data quality, and AI training tasks.

Kenya

Message

What I'm looking for

I seek a Data Analyst/Business Analyst role within Bank Supervision where I can apply statistical analysis, data quality management, and clear reporting to support evidence-based regulatory decisions.

I hold a Bachelor’s degree in Applied Statistics with IT and have experience working with data analysis tools such as R, Excel, SPSS, and Stata. As a native Swahili speaker and fluent English user, I have a deep understanding of linguistic nuances, cultural context, and grammar accuracy. I am detail-oriented, highly organized, and capable of following complex guidelines, making me well-suited for AI training, data labeling, and language quality evaluation tasks. I am motivated to support Welocalize in improving AI performance for Swahili language models.

Experience

Work history, roles, and key accomplishments

Current

Operations & Records Manager

Current

Family Business

Jan 2025 - Present (1 year)

Maintain accurate daily sales, expense, and inventory records and analyze sales trends to inform restocking and cost-control decisions while ensuring confidentiality and reporting discipline.

Microsoft Excel Inventory Management Sales Analysis Reporting Confidentiality Cost Control

Data Assistant (Intern)

Eldoret Water and Sanitation Company

Apr 2024 - Sep 2024 (5 months)

Collected, cleaned, and validated operational and survey data to support project monitoring and evaluation; applied statistical techniques to analyze trends and prepared analytical reports used by management for decision-making.

Data Cleaning Statistical Analysis R SPSS Microsoft Excel Data Validation Report Writing Trend Analysis

Education

Degrees, certifications, and relevant coursework

Kaimosi Friends University

Bachelor of Science, Applied Statistics with IT

2020 - 2024

Grade: Second Class Upper Division

Activities and societies: Final year project: Prediction of Breast Cancer Using Logistic Regression; coursework and projects in statistical modelling, hypothesis testing, data analysis and visualization using R, SPSS, and Excel.

Completed a Bachelor of Science in Applied Statistics with IT, including a final year project building and evaluating a logistic regression model for breast cancer prediction.