Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.
Capstone Project – Machine Learning Algorithms(CHRISTUS HEALTH)
I showcased proficiency in web scraping using Selenium, developing a custom algorithm that significantly enhanced data extraction efficiency and accuracy, achieving an impressive 99% accuracy rate. I implemented data manipulation techniques, including validation and standardization, ensuring high-quality and reliable data. A notable accomplishment involved streamlining the data cleaning process for Christus-defined master data, reducing the dataset from 400,000 records to a refined set of 9,000 using automation. Additionally, I leveraged my skills to create insightful visualizations and interactive reports with Power BI, enabling Christus to derive actionable insights from the scraped data and facilitate informed decision-making.