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Data Analytics Graduate Assistant Resume

Chicago -, IL


  • A proficient Data Analyst with 2 years of experience in Data Analytics & Visualization with a solid background in SQL, Python, PowerBI and SAS with a keen eye for efficiency and process improvement.


Languages & Web technologies: SQL, Python, DAX, SAS, Dart, UML, HTML, CSS, Dart

Tools: /Software: Proficient in MS SQL Server, PowerBI, Jupyter, SAS, Access DB, Excel, Visio, Visual Studio (SSAS), Intermediate in SAP BW, Qualtrics, Android Studio


Data Analytics Graduate Assistant



  • Maintained databases of student records, enrollment details following STAR schema in MS SQL Server and performed constant updates and querying to support ad hoc requests
  • Trained over 100 students per semester in data cleaning and analysis in Python; data modeling, warehousing using SQL and statistical data analysis in SAS
  • Assisted 30+ students in creating appealing visualizations, reports, and dashboards for KPI’s using PowerBI to help with capstone projects
  • Taught statistics, SQL, and advanced Excel to 400+ students across 3 semesters

Data Analyst

Confidential, Chicago - IL


  • Conducted interviews with multiple employees to map the engagement activities and related outcomes to assess current employee development framework
  • Captured data required to assist in framing solutions by creating a survey in partnership with academia
  • Performed data cleaning, analysis using Pandas in Python, and visualized the data using Matplotlib and Seaborn to understand the demographics. Identified potential opportunities to improve current processes
  • Proposed a framework within 2.5% of HR budget that increases employee engagement and development by 2-fold over the previous model
  • Presented the results of analysis to the CTO and Senior directors by creating aesthetic reports in PowerBI

Business Analyst



  • Participated in discovery sessions with research scientists for requirement elicitation involving complex information on patented drug delivery mechanisms, and its business implications
  • Developed roadmap for a product roll out in collaboration with cross-functional team of 5 analysts, 2 researchers, and multiple business professionals
  • Designed a website in SCRUM environment by gathering requirements from key stakeholders using interviews and questionnaires
  • Provided business intelligence to support key decisions by conducting extensive market research

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