A highly accomplished Data Quality Engineer with proficiency in SQL, Tableau, SSRS, ETL processes, Python, and more. Possessing a strong background in data analysis and visualization, excels in ensuring data accuracy and delivering high-quality solutions within project timelines. The track record includes consistently exceeding expectations and collaborating effectively in diverse environments. Brings a keen eye for detail, a commitment to data integrity, and an innovative approach to drive actionable insights for business success.
Testing Expertise:
Data Quality Team Contribution:
Automation and Process Improvement:
CI/CD and Test Planning:
Agile Methodologies and Tool Proficiency:
SQL
- Analyze hospital readmission rates using files that came from the Centers for Medicare and Medicaid Services (CMS).
- This project will focus on cleaning a raw medical file to prepare for the data analysis. The raw data file includes records of 10000 customers with 50 different columns.
- Libraries used: Pandas, numpy, matplotlib and seaborn.
- Wrangle 5000+ tweets from Twitter user WeRateDog to create interesting and trustworthy analyses and visualizations.
- Identify tidiness and quality issues of data
- Storing, Analyzing, and Visualizing Data
- Python libraries: NumPy, pandas
- Project analyzed one hundred thousand medical appointments in Brazil to identify some trends and factors from patients who did not show up in their appointments.
- Extract data from a database using SQL queries
- Calculate moving average in spreadsheet
- Create a line chart for visualization