Open to opportunities

Rachael Mogambi

@rachaelmogambi

Message

Data analyst and machine learning practitioner driving insights and forecasting improvements.

Kenya

Message

What I'm looking for

I seek roles where I can apply data science and BI to drive measurable business impact, collaborate cross-functionally, and grow technical leadership—preferably remote, hybrid, or onsite.

I am a results-driven data analyst and machine learning practitioner with hands-on experience in SQL, Python, R, Tableau, Power BI, and Salesforce CRM. I specialize in predictive modeling, ETL pipelines, data visualization, and database optimization, delivering measurable improvements such as 20% better forecasting accuracy and a 40% reduction in data processing time.

I have automated reporting workflows, trained teams on CRM adoption, and built models for churn prediction and customer segmentation that increased marketing effectiveness and lead generation. I thrive on solving complex business problems, improving operational efficiency, and contributing to data-driven decision-making in remote, onsite, or hybrid environments.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst Specialist

Current

Trific Sez

Sep 2024 - Present (1 year 1 month)

Developed automated Salesforce dashboards reducing reporting time by 50% and designed data pipelines that cut processing time by 40%, improving executive decision-making and lead generation (50+ qualified leads/month).

SQL Python Salesforce CRM ETL Tableau)Power BI Data Pipelines A B Testing

Data Analyst Intern

Startups Kitchen

Aug 2023 - Dec 2023 (4 months)

Conducted data analysis and built predictive models and Power BI dashboards that improved targeted marketing by 15% and sales forecasting accuracy by 20% while automating ETL and data-processing tasks.

Python R SQL Power BI ETL Data Cleaning

Education

Degrees, certifications, and relevant coursework

Multimedia University of Kenya

Bachelor of Science, Mathematics & Computer Science

Completed a Bachelor of Science in Mathematics and Computer Science, covering core topics in mathematics and computer science with practical applications.