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Data Analyst with less than a year in Data Pipelines & BI
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Assessing your cultural and operational fit
Analytical and highly versatile Financial Engineering graduate and Data Analyst with a proven track record of managing end-to-end data pipelines and ETL processes to transform complex, multi-source datasets into strategic business intelligence, driving commercial performance and business growth. Proficient in creating interactive dashboards, establishing hypothesis testing frameworks, and monitoring performance metrics. Experienced in delivering data cleaning and quantitative insights directly to senior leadership and non-technical stakeholders to optimize corporate decision-making, enhance sales effectiveness, and improve operational metrics.
ALX
Professional Certification · Data Analytics
N/A – June 30, 2026
Jomo Kenyatta University of Agriculture and Technology (JKUAT)
Bachelor of Science · Financial Engineering
N/A – June 30, 2025
Africa Strategic Policy and Al Resource Centre (AFRI-SPARC)
AI Policy & Data Research Intern
April 1, 2026 – Present
Nairobi, Nairobi, Kenya
Ndarugu Tea Factory (KTDA)
Finance & Procurement Intern
August 1, 2024 – October 31, 2024
Kiambu, Kiambu County, Kenya
COVID-19 Data Pipeline and Analytics
June 17, 2026 – Present
Engineered a robust data pipeline using SQL to execute rigorous ETL processes that extracted, cleaned, and consolidated global vaccination and mortality records from disjointed public sources to build a reliable data foundation. Developed an interactive Tableau dashboard to present key public health indicators, transforming raw data into actionable visual insights for data-driven decision-making.
View ProjectSea Level Predictor
June 17, 2026 – Present
Developed a predictive model using Python (Pandas, Scipy) to forecast global sea level alterations through the year 2050. Executed linear regression modeling and statistical hypothesis testing on historical climate records to generate validated outlooks on environmental trends.
View ProjectMedical Data Visualizer
June 17, 2026 – Present
Built an analytics script using Python (Pandas, Seaborn) to clean, filter, and apply custom data cleaning methodologies on health metrics, evaluating variables like BMI and blood pressure profiles. Designed advanced correlation heatmaps and categorical distribution plots to isolate statistical relationships between lifestyle factors and health outcomes, providing deeper analytical insights.
View ProjectProfessional Data Analyst Track
ALX
January 1, 2026 – Present
Data Visualization with Power BI & Tableau
Udemy
January 1, 2025 – Present
Python for Data Science
IBM
January 1, 2024 – Present
Data Analysis with Python
freeCodeCamp
January 1, 2024 – Present
Machine Learning with Python
Great Learning
January 1, 2023 – Present
Financial Risk Analytics
Great Learning
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including COVID-19 data analytics, sea level prediction, and medical data visualization, shows a broad interest in applying data analysis to various domains. Their internships at AFRI-SPARC and Ndarugu Tea Factory demonstrate adaptability to different organizational contexts (policy/research vs. manufacturing/finance). The ongoing professional certification and multiple completed certifications indicate a proactive learning attitude and commitment to continuous skill development, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and attention to detail through their project work and internship descriptions. Their experience in collaborating across fast-paced divisions and communicating complex data insights to non-technical stakeholders indicates good teamwork and communication skills. The focus on optimizing operational workflows and improving reporting efficiency aligns well with operational fit.