I am an aspiring data analyst and current data analyst apprentices at COOP Careers. Before I pivoted into this field, I conducted research on fruit fly genetics, which inspired me to pursue a career where I would be able to translate data into actionable insights. This eventually led me to Python, my first coding language, which I greatly enjoyed utilizing. Python opened up the door of possibilities to web scrape data, clean, transform, analyze, and even visualize data with its multitude of packages, modules, and libraries. Eventually, I took Google Coursera Courses to enhance my understanding of the basics of data analysis. I am always looking for opportunities to further my understanding of data and learn new skills to bring about impactful solutions. Please stay tuned as I continue my journey from data analytics into machine learning and AI!
● Graduated summa cum laude ● Created poster of research for Elongin B somatic muscular morphology and lethality rate
● Engaged in a 16-week apprenticeship program, acquiring expertise in data cleaning, transformation, analysis, and visualization using SQL, Python, and Tableau, alongside continuous professional development ● ~200 hours of instruction time with a hands-on mastery of data tools, communication training, networking, and client work with actual companies ● A highly selective program that admits underemployed college graduates from under resourced & marginalized communities