Results-driven Business Analyst with expertise in Python, R, SAS, Power BI, SQL, Tableau, and Excel. Skilled at data cleaning, analysis, visualization, and reporting, with a track record of transforming complex datasets into actionable insights that drive strategic decision-making. Passionate about leveraging data to optimize business processes and support growth, seeking opportunities to apply my analytical skills in a dynamic environment.
In this project, we transform raw housing data in SQL Server to enhance its usability for analysis. This involves extracting data from various sources, cleaning and normalizing it, and performing transformations to enrich the dataset. Using SQL Server, we execute complex queries to aggregate, filter, and restructure the data, resulting in a refined dataset optimized for advanced analytical tasks and accurate insights into housing trends.
In this project, we perform a comprehensive data exploration of a COVID-19 dataset using SQL Server. The goal is to analyze and understand the trends, patterns, and insights related to the COVID-19 pandemic
The objective of this project is to explore and analyze an Airbnb dataset to gain insights into rental trends, property performance, and market dynamics using Tableau for data visualization.
This project seeks to determine which passengers were transported to an alternate dimension following a collision between the Spaceship Titanic and a spacetime anomaly hidden within a dust cloud.
The aim of this project is to develop a robust and efficient web scraping solution to extract valuable information from Wikipedia, one of the largest and most diverse repositories of knowledge on the internet.
Division Street
St. Catharines, ON L2R3G3