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https://github.com/patriciavalentine/patriciavalentine

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https://github.com/patriciavalentine/patriciavalentine

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README 

        
# Hello, I'm Patricia! 👋

### Welcome to my GitHub profile.



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.



## 🛠️ Technical Skills

- **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*



## 📚 Education

- 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.



## 💻 Projects

1. [Phone Sales Data Analysis](https://github.com/patriciavalentine/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.



2. [Bolt Ride Analytics](https://github.com/patriciavalentine/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.



3. [Healthcare Performance Analysis](https://github.com/patriciavalentine/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.



4. [Supermarket Sales Analysis](https://github.com/patriciavalentine/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](https://github.com/patriciavalentine?tab=repositories)!*



## 📧 Let's Connect

I encourage you to explore the projects further on my [Portfolio Website](https://valepatricia16.wixsite.com/patricia-valentine).

Should you have any questions or opportunities for collaboration, don’t hesitate to email me at *[email protected]* or connect with me on [LinkedIn](https://LinkedIn.com/in/patricia-valentine-danga/).



### Thank you!