I’m a Data Analyst with a passion for discovering the stories hidden in data. My journey started with a love for tackling complex Math problems, and a curiosity about how data influences the world. Over time, this has evolved into an exciting career where I turn raw data into actionable insights that power smart decisions.
On my GitHub, you’ll find diverse projects that showcase my skill set.
- Languages: Structured Query Language(SQL), Python, R
- Tools: Excel, Power BI, MySQL, Microsoft SQL Server, Jupyter Notebook, R Studio, Google Cloud Platform(GCP), Microsoft Office
- Data Visualization: Tableau, Power BI, Looker, Matplotlib, Seaborn, Excel Charts, Dashboards
- Data Manipulation: Advanced Spreadsheet Functions, Google BigQuery, Pandas, NumPy, Tidyverse, SQL.
- Data Cleaning: Handling missing data, Outlier detection, Data normalization, Data transformation.
- Statistical Analysis: Hypothesis testing, Regression analysis, Statistical inference, etc
- Bachelor's degree in Applied Mathematics, Kenyatta University.
- IBM Data Analyst Professional Certificate, Coursera.
- Google Data Analysis with R Programming Certificate, Coursera.
- Microsoft Data Analysis and Visualization with Power BI Certificate, Coursera.
- UC Davis Fundamentals of Visualization with Tableau, Coursera.
- Google Cloud Data Analytics Professional Certificate, Coursera.
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Phone Sales Data Analysis - Utilized Python and Jupyter Notebooks with libraries such as Pandas, Numpy, Matplotlib, and Seaborn to clean, analyze, and visualize a Phone Sales Dataset, thereby identifying consumer preferences, pricing trends, and market dynamics while uncovering key insights into brand performance and customer satisfaction.
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Bolt Ride Analytics - Utilized MySQL for data cleaning, formatting, and analysis of Bolt Ride operations, alongside Tableau for visualization and dashboard creation, enabling the identification of peak ride times, popular pickup locations, and revenue trends to enhance decision-making and operational efficiency.
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Healthcare Performance Analysis - Utilized Microsoft SQL Server and Power BI for data cleaning, analysis, and visualization of a Healthcare Dataset, enabling the identification of key trends and providing deeper insights into healthcare performance and operational effectiveness.
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Supermarket Sales Analysis - Utilized Microsoft Excel to clean, conduct exploratory data analysis, create pivot tables and charts, and develop an interactive dashboard for a Supermarket Sales Dataset, thereby delivering insights into the sales performance of the supermarket's three major branches.
...and several others as shown in my repositories!
I encourage you to explore the projects further on my Portfolio Website. Should you have any questions or opportunities for collaboration, don’t hesitate to email me at [email protected] or connect with me on LinkedIn.