As an Adjunct Instructor teaching Information Retrieval and Visualizations, I design and deliver course content that spans MS SQL Server, Python, ETL pipelines, and Tableau. In the Information Retrieval course, students dive into SQL querying, data transformations, and ETL processes, gaining a solid foundation in data management and processing. The Visualizations course focuses exclusively on Tableau, where students learn to create effective data visualizations and build interactive dashboards. Through hands-on assignments, quizzes, labs, and projects, I assess their progress and provide constructive feedback to develop their practical skills. Additionally, I mentor students on applying these concepts in real-world analytics and business intelligence roles, preparing them for industry applications.

As a Manufacturing Analyst Intern, I contributed to process optimization, quality control, and inventory management within a dynamic food manufacturing environment. Leveraging tools like Excel for data analysis, SPSS for statistical insights, and ERP systems for inventory tracking, I collected and analyzed production data to identify inefficiencies. Key achievements included a 5% yield improvement and a 20% reduction in stock-outs through an optimized inventory system. I also supported quality control enhancements using SPC (Statistical Process Control) that decreased rejected batches by 15% and created detailed process maps using Visio to streamline production workflows, reducing cycle time by 10%. These contributions, powered by analytical tools, strengthened operational efficiency, minimized waste, and ensured product quality, aligning closely with industry best practices.