About Me

I am an enthusiastic and dedicated data analyst with a passion for turning raw data into meaningful insights. My journey in this field began in 2019, when I took a class in data management and immediately became fascinated by the process of taking seemingly unstructured data and transforming it into actionable information through careful analysis and questioning. Since then, I have had the opportunity to hone my skills and apply them to a variety of projects, including a market basket analysis in which I used the Apriori algorithm and association rules to create customer segmentations and identify market trends.

One of the things I love most about data analytics is the way it allows me to continuously improve my skills and knowledge. Every project presents its own unique challenges and opportunities for learning, and I enjoy the process of tackling these challenges and finding creative solutions. In addition, I am dedicated to using my skills and insights to help others make better decisions.

As a data analyst, I have a strong set of skills that allow me to effectively work with data and extract valuable insights. Some of my key skills include:

1. Identifying and cleaning bad or missing data through various techniques: I have experience using a range of methods for identifying and correcting data issues, including detecting and imputing missing values, identifying and correcting errors, and handling outliers.

2. Exploring data sets through analysis and graphing techniques: I am skilled at using a range of tools and techniques to analyze and understand data sets, including using statistical analysis, creating visualizations, and applying machine learning algorithms.

3. Creating visualizations to present results in an easy-to-understand format: I have experience using a range of visualization tools, including Tableau, Python's Matplotlib and Seaborn libraries, and R, to create clear and effective visualizations that help communicate complex data insights in a simple and understandable way.

4. Creating dashboards and reports from multiple sources: I have experience creating dashboards and reports that pull data from multiple sources and present it in a clear and concise format.

5. Forecasting: I am skilled at using statistical techniques to create forecasts and projections that help organizations plan for the future.

6. Machine Learning: While I am still learning and developing my skills in this area, I am excited about the opportunity to apply machine learning techniques to data analysis and extract valuable insights.

Overall, my skills allow me to effectively work with data, extract meaningful insights, and communicate those insights in a clear and understandable way. I am always looking for ways to improve my skills and stay up-to-date with the latest tools and techniques in the field of data analysis.

1. Data Visualization for Analytics

2. Data Mining for Analytics

3. Advanced Economic and Business Forecasting

4. Best Practices in Data Management

5. Introduction to Data Analytics

6. Management Info Systems

7. Decision Support Systems

8. Database Design/Implementation/Ad

9. Systems Analysis & Design