Proficient in Python, SQL, and Excel for data manipulation and analysis. Skilled in data cleaning and preparation with Pandas and NumPy, and adept at creating insightful reports and dashboards using BI tools such as Power BI, Tableau, and Looker.
Skilled in extracting data from websites using BeautifulSoup, Scrapy, and Selenium. Capable of aggregating and presenting data in a structured and understandable format.
Experienced in developing custom web applications using Flask and Django to enhance data reporting. Skilled in integrating data visualization tools and creating interactive user interfaces.
I began my career transition from retail to data analysis in December 2022. Since then, I have gained hands-on experience in cleaning and analyzing data using SQL, Excel, and Python. I've developed expertise in crafting visualizations with Power BI, Tableau, and Looker, building a solid foundation in data analysis and reporting.
During this period, I dedicated myself to advancing my knowledge in data technologies and acquiring several key certifications.
My journey has led me to discover a passion for exploring data with Python and coding late into the night. I love building web apps, tackling both simple and complex problems, and continuously learning and growing in the field of data science.
As much as I love Data Analysis I am excited about the future and eager to continue growing into the field of data science. If you are interested in collaborating on projects, discussing opportunities, or just connecting, I would love to hear from you!
You can learn more about my qualifications and view my full RESUME.
If you're looking for someone passionate about data and eager to contribute, Hire Me!