Taiwo Olajumoke

Senior Data Analyst, Reagle Consulting Jan 2024 - Present

• Led data analytics projects for clients in the ICT sector, utilizing cloud technologies (AWS, GCP) for data

processing and storage, ensuring scalable and efficient workflows.

• Developed and deployed interactive dashboards using Power BI and Tableau, translating complex data into

actionable insights for non-technical stakeholders.

• Designed and implemented data pipelines with SQL and Python, integrating data from diverse sources for compre-

hensive business intelligence solutions.

• Collaborated with clients to analyse business needs, delivering data-driven solutions that enhanced operational

efficiency and aligned with their strategic objectives.

• Worked on cloud computing projects, leveraging AWS S3 and BigQuery for cloud-based data storage and process-

ing, improving accessibility and scalability.

Data Analyst, Notyl Services Jun 2021 - Nov 2022

• Conducted data analysis and predictive modeling for public health projects, using SPSS, Python, and SQL to

identify trends and inform health interventions.

• Led A/B testing initiatives for marketing campaigns, optimizing client strategies and increasing user engagement

by 20% using AWS cloud services.

• Developed and automated reporting systems using VBA scripting in Excel and Tableau, integrating data from

field research for real-time access and reducing report generation time by 40%.

• Collected and integrated field data using ODK forms and XLS scripting, ensuring high-quality data management

and processing for public health research.

• Delivered actionable insights to stakeholders, translating complex data findings into clear, visually engaging reports

and dashboards.

Data Analyst, Mariestopes Reproductive Choices Aug 2017 - Apr 2021

• Started with data collection and transcription, utilizing ODK forms and XLS scripting to collect field data

from multiple regions, ensuring consistent and reliable data entry for reproductive health initiatives.

• Transitioned into data entry, performing ETL processes with SQL to clean and transform data, ensuring high-

quality datasets for analysis and reporting on reproductive health trends.

• Moved into data analysis, using SQL and Python for advanced data analysis, providing actionable insights that

improved decision-making in public health programs.

• Automated data cleaning and transformation processes using VBA scripting in Excel, improving data accuracy

and reducing manual errors by 30%.

• Designed and deployed visual reports and dashboards in Tableau, providing real-time insights into reproductive

health trends and supporting data-driven decisions across the organization.

Masters of Science, Artificial Intelligence and Data Science Keele University