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As a data analysis, I am driven by a deep passion for extracting actionable intelligence from data. I have successfully completed real-world data analysis projects, applying my expertise in data wrangling, statistical analysis, and data visualization, all while receiving one-on-one mentorship from an industry professional. These projects allowed me to demonstrate my capabilities as a data analyst, providing solutions for complex business challenges. Previously, I worked as a customer service team lead at UPS, where I proficiently collected and managed customer information, shipment data, and transaction records, demonstrating strong data collection and management skills. I also conducted data quality assurance, systematically reviewing and verifying data for accuracy and completeness, ensuring data integrity. Additionally, I trained and onboarded new team members, imparting customer service best practices, company policies, and data handling procedures. I am eager to leverage my skills and experience to help organizations make informed decisions based on data, enabling them to unlock their full potential. TECHNICAL SKILLS Languages: Python (Pandas, NumPy, Scikit-Learn, PySpark), SQL, R Data Collections: JSON, CSV, API, Web-scraping Data Visualization: MatplotLib, Seaborn, Plotly, Tableau, PowerBI Systems: Windows 9X/NT/2000/XP/2K3/Windows 7, Mac OS DBMS: MS SQL Server, MySQL, Postgres Analytical Tools: SQL, Python, Tableau, PowerBI, Google Analytics, Advanced Excel, SAS. Languages: English, Portuguese, Spanish.
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