DARLINGTON ZIYOMO
Denver, CO 720-***-**** **********.******@**.*** www.linkedin.com/in/darlington-ziyomo EDUCATION
Daniels College of Business, University of Denver Denver, Colorado Master of Science: Business Analytics Expected March 2026 University of Zimbabwe Harare, Zimbabwe
Bachelor of Business Studies and Computing Science Dec. 2021 SKILLS SUMMARY
Programming & Data: Python, R, SQL
Analytics & Modeling: Predictive Modeling, Data Mining, Machine Learning, Optimization, Text Mining Data Engineering & Tools: FME, ETL Processes, Data Warehousing, AWS Visualization & BI: Power BI, Tableau, Excel, Alteryx Technical Systems: Veeam Backup, VMware, Hyper-V, VERITAS NetBackup Languages: English and Shona
PROFESSIONAL EXPERIENCE
University of Denver -Executive Education Denver, Colorado Graduate Assistant Sep. 2024 – Current
• Analyzed Salesforce datasets to uncover trends, improving reporting accuracy by 15%.
• Developed 4+ interactive Power BI dashboards, enhancing decision-making for program managers.
• Assisted in planning and executing executive education programs including scheduling and logistics.
• Conducted research on industry trends and best practices. Kenac Computer Systems Harare, Zimbabwe
Datacenter Support Engineer Feb. 2022 – July. 2024
• Reduced average client downtime by 30% through proactive troubleshooting and optimized backup solutions.
• Implemented enterprise-wide recovery strategies, securing data availability for 15+ clients.
• Installed and decommissioned backup software and IT equipment.
• Provided technical support and troubleshooting for client datacenter issues. CBZ Bank Holdings Harare, Zimbabwe
Applications Support Intern Feb. 2019 – Feb. 2020
• Enhanced reporting accuracy by automating SQL queries for transaction analysis.
• Identified and resolved system inefficiencies, reducing daily end-of-day errors by 25%.
• Provided software application support to end users and ensured front-end/back-end functionality. BUSINESS ANALYTICS PROJECTS
• Environmental Impact Analysis (Capstone, Adams County) – Building SQL database and FME workflows to integrate NOAA and sensor data; applying predictive models in Python to assess weather-environment interactions.
• Data Mart & ETL Pipeline – Designed and implemented a retail data mart; developed ETL processes to clean, transform, and load multi-source data.
• Predictive Modeling in R – Applied regression, classification, and ensemble models; presented findings with R Markdown dashboards
SOFT SKILLS & ACTIVITIES
Skills: Sales Training, Mission and Values Training Clubs: Daniels Consulting Club, Daniels Beyond Borders, Intramural Volleyball and Soccer Volunteer: University Park United Methodist Church