Summary
Daniel Dimond is an estimator and data-savvy technologist with over 25 years in computer science and 11 years of professional experience, recently certified in Data Science from Springboard. He combines deep project management and estimating expertise—having built the estimating department, policies, and documentation for a construction startup—with hands-on data skills in Python, SQL, Excel, Pandas, and Scikit-Learn. Known as the go-to tech expert in prior roles, he excels at turning messy operational data into actionable insights and automations that improve estimating accuracy and team efficiency. Based in Phoenix, he brings a practical blend of construction domain knowledge and machine learning curiosity, often applying signal-processing tools like Librosa and spatial/design software such as AutoCAD and SketchUp to unconventional problems. Daniel is now seeking to apply this hybrid skill set within a forward-looking team where data storytelling and operational impact meet.
11 years of coding experience
Associate of Science - AS, Computer Science, Associate of Science - AS, Computer Science at Glendale Community College
Data Science, Certification, Data Science, Certification at Springboard