• Assisted in grading assignments, exams, and projects for a course in public health

• Provided guidance to students through office hours and discussion sessions, ensuring clarity on course material

• Supported faculty in managing course logistics, including lecture preparation and student engagement activities

• Developed and managed databases to digitize and structure case requests, improving efficiency in reviewing wrongful conviction claims

• Implemented data mining techniques to analyze over 2,000 historical case files, identifying trends and potential candidates for representation

• Utilized Natural Language Processing (NLP) to extract insights from handwritten and digital case letters, streamlining the case review process

• Automated request categorization and correspondence workflows, reducing manual processing time for new assistance requests

• Created data visualizations and reports using Looker Studio & Tableau to support research, legal case reviews, and future grant applications for the project

• Collaborated with criminologists, legal professionals, and data scientists to refine case selection strategies and optimize review methodologies

• Developed and optimized interactive dashboards in PowerBI & Qlik Sense, delivering data-driven insights for pharmaceutical clients

• Designed and executed ETL pipelines using SAS, SQL, and Python, integrating data from multiple sources for advanced analytics

• Led data validation and root cause analysis, ensuring accuracy and reliability in performance, sales, and insurance reporting

• Collaborated with a 22-member global team, managing onshore client communications and delivering actionable business insights

• Assisted in data preprocessing and transformation, ensuring clean and structured datasets for analysis

• Developed interactive dashboards and reports using Qlik Sense to visualize key business metrics

• Conducted data validation and performance analysis, identifying trends and insights to support business decisions

• Worked closely with senior analysts to enhance ETL processes using SQL and Python for efficient data management