Vidal Anguiano
Senior Architect, Data & Analytics
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolVidal Anguiano is a Senior Architect in Data & Analytics with 11 years of experience designing and delivering analytics and data science solutions across public sector and consultancy environments. Based in Chicago, he blends deep technical acumen with a people-first leadership style, coaching teams to take ownership while pushing for novel approaches to ambiguous problems. His background spans research engineering, federal and municipal projects, and progressive roles at West Monroe where he advanced from consultant to senior architect, reflecting strong delivery and architectural experience. Trained in computational analysis and public policy at the University of Chicago, he brings quantitative rigor to applied policy and business problems. Known for being a continual learner and connector, he deliberately invests in others’ growth while staying hands-on with technical work.
11 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc), Computational Analysis and Public Policy, Master of Science (M.Sc), Computational Analysis and Public Policy at Harris School of Public Policy at the University of ChicagoHigh School Diploma, High School Diploma at Zion-Benton Township High SchoolBachelor of Arts - BA, Public Policy Studies - Quantitative Analysis Concentration, Bachelor of Arts - BA, Public Policy Studies - Quantitative Analysis Concentration at University of Chicago
Spanish, French, Italian
Github Skills (13)
atlas9
climate-change9
open-data9
breakout7
agent6
spatial5
python4
react3
javascript2
accessibility1
scheduling1
parallel1
parallel-computing1
Programming languages (4)
Github contributions (5)
vidal-anguiano/chicago-traffic-violations-d3-viz
Mar 2019 - May 2019
Contributions:25 commits, 24 pushes, 1 branch in 2 months
CityBaseInc/dask
Nov 2018 - Mar 2019
Parallel computing with task scheduling
Contributions:41 pushes, 1 branch in 4 months
schedulingparalleltask-schedulingcomputingparallel-computing
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