As a Sr. Supply Chain Analyst at Kellanova, I develop comprehensive data visualizations in Power BI and Tableau, transforming complex data sets into actionable insights. I execute advanced data extraction and ETL processes using SQL, Snowflake, SAS, and Excel to enable precise decision-making. I design process automation solutions with Python and R/R Shiny, reducing manual workload and improving efficiency. My expertise in data analysis uncovers critical trends, translating complex data into clear, impactful recommendations for cross-functional teams.
View ResumeI extract meaningful insights from complex datasets using statistical analysis and advanced modeling techniques to identify trends, patterns, and business opportunities.
I design and implement efficient ETL pipelines to transform raw data into structured formats, ensuring data quality and accessibility for analytics and reporting.
I streamline business processes through automation using Python and workflow tools, reducing manual effort and improving accuracy and efficiency.
Independently created a comprehensive Power BI dashboard from scratch, providing critical supply chain insights for multiple organizational levels. Developed intuitive, interactive visualizations that enable data-driven decision-making and are now actively used in daily operations.
Built a Python Streamlit application with role-based views that automates file compilation for supply planning workflows. Reduced manual data processing time by over 3 hours per week, significantly improving operational efficiency for supply chain teams.
Utilized Python to scrape NFL Combine data and export it to Excel, followed by analysis in Tableau to identify performance trends. Leveraged technical skills to improve rookie drafting strategy in a personal dynasty fantasy football league project.