Sayuj Shah

About Sayuj Shah

I’m a data-driven analyst and AI practitioner with a proven track record of transforming raw data into strategic insights and intelligent automation. As a Data Analyst at U.S. Cellular, I architected end-to-end analytics solutions, created dynamic interactive visualizations for internal stakeholders, developed complex queries, and conducted in-depth ETL procedures. I thrive on turning complex datasets into clear, interactive dashboards that empower engineers and executives to make faster, smarter decisions. My passion for AI has been reflected through my published research on multi-agent systems in the field of cybersecurity (you can see my work found in the Access Journal). Additionally, I have developed curated agentic systems for large clients during my tenure as an AI Agent Builder with AG2. I am supplementing my professional career by pursuing my M.S. in Computer Science at Georgia Institute of Technology, where I am learning advanced topics in machine learning, artificial intelligence, and data structures. I have a B.S. in Management Information Systems and Finance from the University of Minnesota - Carlson School of Management. I am passionate about applying my data science skills to projects that have a positive impact on society, especially in the environmental or health space. I have worked on projects ranging from brain tumor MRI classification to stock/option screening tools, which are available on my GitHub page. I am a quick learner, a strong communicator, and a team player, always eager to take on new challenges and collaborate with cross-functional teams. Let’s connect if you’re interested in data transformation, AI-driven products, or collaborative innovation!

Experience

1. Data Analyst

   Uscellular

   Aug 2022 — Present · Chicago, IL, US

   Generate comprehensive reports and interactive dashboards pertaining to engineering KPIs for internal stakeholders to enhance data-driven decision-making• Led the successful transition of our BI platform from IBM Cognos to Tableau by conducting report auditing and migrating over 100 reports, ensuring continuity and accuracy• Developed a user-friendly landing page UI for seamless access to team Tableau reports, informed by thorough A/B testing, resulting in improved user engagement• Presented project findings and success stories to over 150 engineers and senior leaders at an analytics conference• Created an automated JIRA ticket tracker for the executive team that enables efficient monitoring of employee performance, leading to a 20% reduction in ticket lifestyle• Built automated scripts that significantly increased data load and pipeline performance, achieving a 30% reduction in processing time• Conduct data cleansing, preparation, and ETL procedures for Oracle pipelines via SQL and Python• Administer ad-hoc initiatives including software upgrades, product research, and enhancements to the data collection process, contributing to continuous improvement efforts

Education

• University of Minnesota

  Bachelor's degree, Management Information Systems and Finance

  2017 — 2021

• Georgia Institute of Technology

  Master of Science - MS, Computer Science