Daniel Jumper Email & Phone Number

Dallas, Texas, United States

Dallas-Fort Worth Metroplex

Designed and scrutinizing credit risk models for $10B/y of funded loans- Built champion/challenger pipeline to train & evaluate risk models based on new, novel data sources- Carried out in-depth performance monitoring and interpretation of high-impact approve/decline model- Mentor on novel project to use recurrent neural networks to generate customer insights based on credit card transactions- Leveled up technical skill of the DS community by proposing & launching an ongoing knowledge sharing seminar

Greater New York City Area

Lead DS on an engineering tech team building products for the consumer credit card business.- Product to identify subscriptions in credit card transactions retains $1B+/yr in spend volume.- My novel modeling technique earned 2+ patents.- Implemented production spark pipeline that processes millions of accounts daily.

Greater New York City Area

Completed intensive 7-week post-doctoral training fellowship bridging gap between academia and commercial data science. Focus on broad exposure to DS work across industries with opportunity to demonstrate fast skills acquisition & results delivery.- Developed a web app over 4 weeks that forecasts earnings growth per job sector and metropolitan area based on Bureau of Economic Analysis data, allowing users considering relocation to compare their prospects among US cities.- Consulted with Worldcover, NY, achieving 15% projected increase in purchase of drought insurance by African farmers with a customer targeting model based on information gathered from initial field agent visits.

Brookhaven National Lab

I earned my PhD in 2016, working with a research group studying spin physics at the University of Illinois at Urbana-Champaign under Dr. Matthias Grosse Perdekamp in collaboration with the PHENIX experiment at Brookhaven National Lab. I was involved with experimental operations and analysis of data sets at many levels. I worked with petabyte scale data sets, engineered data pipelines, and carried out analyses in an international collaboration.I applied machine learning techniques in conjunction with custom designed hardware to categorize rare particle events, in order to separate these rare events from a high noise background. I was involved with all stages of design, construction, testing and operation of a resistive plate chamber hardware upgrade to the experiment over seven years. This included hands on hardware and electronics work, software development and operation for data acquisition and quality assurance analysis. And finally, I built code for the physics analysis of the data from the 2013 Relativistic Heavy Ion Collider run. This required large scale processing of data via a condor cluster and C++ implementation of machine learning and statistical techniques to extract the rare signal events. The physics goal of my research was to better understand the Quantum Chromodynamic origin of the proton spin. I studied the fraction of total proton spin contributed by sea-quarks via colliding polarized protons at 510 GeV center of mass energy in the electroweak decay channel. I studied the W boson decay produced in these collisions, to gain direct access to the helicity distribution sea-quarks, which in turn, provided a window into anti-quark contribution to proton spin.

Urbana-Champaign, Illinois Area

I served as a graduate teaching assistant for both discussion sections and lab sections over a period of 4 semesters. Courses included Electromagnetics and Modern Physics for Non-Majors, Introduction to Quantum Mechanics, Introduction to Thermodynamics, a Advanced Modern Physics Lab. I received "Excellent TA"​ distinction for each low level course I instructed and additionally received the "Outstanding TA" distinction one semester for being in the top 10% of student ratings of all TAs on campus. I was hand selected to TA the nuclear physics section of the UIUC Advanced Modern Physics Lab, one of the most advanced undergraduate labs that exist in the country.

Abilene Christian University

I was a teaching assistant for the Department of Physics for multiple classes over time ranging from introductory to advanced courses and labs. Responsibilities included grading, lab preparation andinstruction and holding tutoring sessions.

Doctor Of Philosophy (Ph.D.), Experimental Nuclear Physics

Bachelor Of Science (B.S.), Engineering Physics