About Me
Motivated and adaptable professional transitioning from a successful career in accounting supervision to pursue a new path in data science. With comprehensive training from Space Code Academy and IBM's Coursera program i…
Motivated and adaptable professional transitioning from a successful career in accounting supervision to pursue a new path in data science. With comprehensive training from Space Code Academy and IBM's Coursera program in data science and machine learning, I possess a solid foundation in the core principles and techniques of this rapidly evolving field. My experience encompasses end-to-end data analysis processes, including data wrangling, cleaning, exploratory data analysis (EDA), and drawing insightful conclusions. Proficient in Python, I leverage libraries such as Pandas, Matplotlib, NumPy, Seaborn, BeautifulSoup, and Scikit-learn for efficient data manipulation, visualization, and machine learning model implementation. Additionally, I am proficient in SQL, particularly with Postgres, for database querying and management. Furthermore, I utilize PowerBI for professional data visualization and presentations. Eager to leverage my analytical skills, attention to detail, and passion for problem-solving to contribute effectively as a Data Scientist in dynamic and innovative environments.