Brian Wasike

Statistics graduate and data professional with practical experience in data review, data classification, data cleaning, validation, quality assurance, anomaly identification, and structured data processing. Experienced working with large datasets using Python, SQL, Excel, Power BI, and Jupyter Notebook. Strong ability to review data against defined requirements, identify inconsistencies and unusual patterns, classify information, perform quality checks, and maintain accuracy and consistency across repetitive data-processing tasks.

Experienced working with approximately 300,000 transaction records and conducting systematic reviews of structured datasets for anomalies, inconsistencies, and data-quality issues. Comfortable learning new tools, platforms, datasets, and project guidelines quickly. Experienced working independently in remote environments, following documented workflows, incorporating feedback, documenting work, and collaborating with teams to deliver accurate outputs within required timelines.

DATA SCIENTIST at Turing (2025-09 – 2025-12)

• Reviewed and processed structured datasets for analytical and research-oriented projects in a remote environment.
• Cleaned, validated, organised, and prepared datasets using Python and SQL.
• Conducted systematic reviews of data to identify inconsistencies, anomalies, unusual patterns, and potential quality issues.
• Investigated unexpected records and discrepancies before finalising project outputs.
• Applied defined project requirements and analytical procedures when processing datasets.
• Performed quality checks on data-processing workflows to improve consistency and reliability.
• Maintained accuracy and consistency across repetitive data-processing and review tasks.
• Documented data preparation procedures, findings, and workflow steps using Jupyter Notebook and Git.
• Adapted quickly to new datasets, project requirements, tools, and workflows.
• Worked independently while collaborating remotely with cross-functional teams to deliver quality outputs within project timelines.

JUNIOR DATA ANALYST at Mombasa Maize Millers (2025-05 – 2025-08)

• Extracted, organised, cleaned, and validated financial and operational data from an ERP system.
• Reviewed datasets for errors, inconsistencies, missing or unexpected information, and data-quality issues.
• Performed detailed consistency checks before data was used for reporting and analysis.
• Classified and organised information into structured datasets for analysis and reporting.
• Used Excel, SQL, and Python to process and transform large volumes of information.
• Analysed operational datasets to identify patterns, trends, and unusual results.
• Automated routine data-processing and validation tasks using Python, Excel, and SQL.
• Worked with finance and operations teams to clarify data requirements and resolve discrepancies.
• Documented data-processing and reporting workflows to support consistent and repeatable work.
• Managed assigned tasks within required timelines while maintaining output quality and accuracy.

Bachelor of Science in Statistics – MOUNT KENYA UNIVERSITY (2022 – 2025)

Certification in Data Analytics – ALX AFRICA (2025-10)

Certification in Professional Development Skills for the Digital Age – ALX AFRICA (2025-07)