Year of professional experience
Detail-oriented data analyst with a focus on utilizing data to inform strategic decision-making. Proficient in Python, SQL, and Tableau with a solid background in Information Technology. Skilled in analyzing large datasets, extracting valuable insights, and providing actionable recommendations to drive performance and efficiency. Seeking an entry-level position in business analysis to apply analytical skills and contribute to data-driven decision-making processes.
Year of professional experience
Certifications
US Bikeshare: Analyzed and visualized bike share usage patterns in major US cities using Python (NumPy, Pandas, Matplotlib). Applied descriptive statistics to uncover trends and insights, facilitating data-driven decision-making.
Forestation Project: Utilized SQL queries and advanced JOIN operations to analyse online forestation and land area databases. Prepared a comprehensive report on global deforestation from 1990 to 2016, providing valuable insights for the leadership team.
US Census: Developed interactive visualizations using Tableau to analyse US census demographic data. Identified correlations between transportation, income, poverty, and other factors, contributing to data-driven decision-making.
New York Stock Exchange: Analyzed large datasets from the NYSE, calculated summary statistics, and made informed inferences. Utilized Excel for data manipulation and modelling, providing insights into future growth prospects for companies.
Available upon request