
Experienced Data Analyst with a robust background in data analytics and a Bachelor of Science degree in Agro-Industrial Product Development. I am equipped with comprehensive training from Springboard Boot Camp and proficient in utilizing Python and SQL for data analysis, statistical methodologies, and advanced data visualization techniques. Demonstrates strong problem-solving skills and a passion for translating data into actionable insights to drive organizational success. With over 15 years of experience in the food industry, I bring a unique blend of analytical insight and industry knowledge. I am eager to leverage my skills and transition from food service to a career in data analytics, combining my educational background, analytical mindset, and passion for data to deliver impactful solutions and drive informed decision-making processes.
Languages: Python, SQL
Data Visualization/Analytics: Tableau, Excel, Power BI, Seaborn, Matplotlib
Data Wrangling: Pandas, NumPy
Statistical Analysis: Hypothesis testing, Regression analysis
Software & Tools: Microsoft Office (Word, Excel, PowerPoint, Outlook)
AEMR Case Study: Utilized SQL and Tableau to analyze energy market stability, outages, losses, and reliability. Extracted and cleaned data to ensure accuracy, and created dynamic visualizations and reports to communicate insights effectively.
iFood Marketing Analyst Project: Analyzed iFood’s marketing strategies and campaign outcomes using Python in a Jupyter Notebook. Conducted comprehensive exploratory data analysis (EDA) and applied advanced statistical techniques to understand customer engagement patterns. Presented insights and offered data-driven strategies to enhance marketing ROI.