Christian Delgado

Christian De Jesús has over 9 years of professional analytics experience in academic, policy and business settings. A summer of study funded by a National Science Foundation Research Experience for Undergraduates grant led to the beginning of his career at the Federal Reserve Bank of Chicago’s Economic Research department. There he supported academic research, briefed executive leadership on the latest financial developments, built econometric forecasting models, designed and implemented consumer sentiment surveys and contributed to the development of new metrics of financial activity. Subsequently, he pursued a Master’s degree in Economics at Duke University under an Honors Scholarship, where he continued to sharpen his analytics acumen by supporting policy and business strategy research. Upon graduation Christian joined Deloitte’s Enterprise Risk Analytics team where he supported global financial management clients and built scalable budget planning, execution and tracking solutions, resulting in early promotion to Senior Consultant. Currently, Christian works at American Express where he designed and implemented data-driven strategies bringing in considerable incremental revenue, once again resulting in an early promotion, this time to Senior Manager.

In recognition of his exemplary service in the classroom, Christian has been selected as a member of General Assembly's Distinguished Faculty program.

Previously (22):

Data Analytics

Gain indispensable data analytics skills in this 10-week evening or 1-week accelerated course, on campus or online.

15 Times

Data Analytics 101 (Online)

In this hands-on introductory workshop, you’ll learn to ask the right questions of your data, while learning basic analytic functionality & manipulating real- data sets.

2 Times

Data Analytics - Let's Break it Down

An introductory overview of what data analytics is all about — what kinds of questions it answers, how different fields can benefit from it, and what tools are used.

Data Analytics Remote (Online)

Gain indispensable data analytics skills in this 10-week evening or 1-week accelerated course, on campus or online.