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I am a versatile individual with experience in exploratory data analysis, data visualization, hypothesis testing, logistic regression, and machine learning models like Naive Bayes and decision trees. I have an excellent understanding and proficiency of platforms for effective data analysis, cleaning, and visualization, including spreadsheets, Python, R, and Tableau. As someone transitioning from education to a career in data, I have honed strong communication, organizational, and analytical skills. My desire for lifelong learning took me from Coursera to Datacamp to Udemy, and back to Coursera. There, I recently completed the Google Advanced Data Analytics Certificate—a rigorous, hands-on program that covers the entire scope of the data analysis and data modeling process. Much of my learning journey has been documented on my GitHub, and some of those projects are highlighted on my portfolio.
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