Saim Siddiqui

Owned and deployed a reusable core data model in Snowflake that became the shared standard for Sigma dashboards, replacing manual reporting cycles. Built and maintained 15+ production dashboards across student outcomes, enrollment, attendance, financial aid, and survey analytics.

Designed and delivered a comprehensive training curriculum on generative AI image tools, translating technical workflows into accessible lessons for a non-technical audience. Partnered with an external cloud platform provider to align training content with production implementation standards.

Spearheaded Domo implementation, building 7 automated dashboards serving registrar, academics, and finance that saved one staff week per semester and addressed NWCCU accreditation requirements. Automated reporting pipelines using SQL, Python, and Domo, reducing manual processing time by 70%.

Led end-to-end data analytics projects for industrial maintenance management software across mobile, desktop, and cloud platforms. Developed a vehicle maintenance tracking database and standardized data transformation processes across multiple formats.

Managed supplier data verification for Fortune 500 clients, ensuring compliance and data integrity. Served as subject matter expert for assessment practices, streamlining data entry processes and training staff on procedural compliance.

Managed assessment technologies for 2,000+ students and 100+ faculty, maintaining a 98% student satisfaction rate. Implemented three new remote testing platforms, increasing exam completion rates by 10% and reducing technical issues by 40%.

Completed multiple professional development courses including SQL for Data Analysis, Career Essentials in Generative AI, Prompt Engineering, Advanced Data Analysis with OpenAI, and Instructional Design Essentials.

Bachelor of Science in Psychology from Utah Valley University, completed in 2015.

Completed the Google Data Analytics Certificate through Coursera.