Isaac Ngunjiri

Isaac Ngunjiri

$10/hr
Financial/Data analysts/Administrative/ Virtual Assistant/Project Management.
Reply rate:
100.0%
Availability:
Hourly ($/hour)
Location:
Nairobi, Nairobi, Kenya
Experience:
4 years
Isaac Ngunjiri 52428-Haile Selassie,-, -, [LinkedIn: https://www.linkedin.com/in/isaac-ngunjiri-a/] Professional Summary Data Analyst with 4 years of experience in data analysis, visualization, and reporting. Skilled in transforming complex data into actionable insights using tools like SQL, Python, SPSS, Tableau, and Excel. Proven ability to support business decisions, improve processes, and deliver datadriven recommendations. Skills Data Analysis: SQL, Python (Pandas, NumPy), R Visualization: Tableau, Power BI Data collection Tools: Kobo, Data kit, ArcGIS Tools: Excel (Advanced), Jupyter, Git Techniques: Data Cleaning, Statistical Modeling, A/B Testing, Web Scrapping Other: Machine Learning (Basic), Google Analytics BI Developer Experience Data Analyst Kenya Revenue Authority | Nairobi-Kenya| 01/2023 – Present Analyze and visualize large datasets to drive business decisions and optimize performance. Develop dashboards and automated reports, improving reporting efficiency by 87%. Collaborate with teams to define KPIs and perform statistical analysis to support business strategies. Junior Data Analyst African Centre for Data Science and Analytics | Nairobi - Kenya | 01/2021– 12/2021 Cleaned and processed data, generated weekly reports, and provided insights on operational efficiency. Assisted with building automated data pipelines, saving 13 hours per week in manual work. Conducted exploratory analysis and presented findings to senior analysts. Education B.S. in Mathematics Technical University of Kenya | 2022 KCSE Certifications Data Analytics Professional Certificate Tableau Desktop Specialist SQL for Data Science Projects Sales Dashboard: Built a Tableau, Python, Excel and Power BI dashboard to track the performance of covid19 cases, improving decision-making for stakeholders. Customer Churn Model: Developed a predictive model in Python to identify high-risk customers, improving retention efforts.
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