Engineer Data

Jon S. Read

**** ***** **** **. *******, TX ***18 832-***-**** **********@*****.***

SUMMARY

Technical professional who readily adapts to new technologies and procedures.

Excellent statistical skills with over 10 years of experience extracting, cleaning, combining and analyzing data from disparate sources and in a wide variety of fields.

Ability to manage multiple projects while meeting demanding deadlines.

Strong combination of analytical skills and hardware experience.

Creative in finding solutions, an animated presenter and confident communicator.

Skills:

Xcel, VBA

Microsoft certification in Data Science

Python, R, C

Power BI

Fortran 77

SQL

MATLAB

Azure

PROFESSIONAL EXPERIERENCE:

HX5/NASA-Johnson Space Center Houston Texas

Hypervelocity Impact Test Engineer 5/2013 to 6/2018

Drive for results. Performed hypervelocity testing and statistical analysis on the risk of damage to command and data-handling cables on the ISS. Demonstrated that actual risk was 33% lower than previously estimated. This information helped reduce the scope of effort, decreasing overrun costs in design, testing, and Program Management, and helped recover schedule delays. In addition, data was referenced by JPL for future interplanetary missions.

Excellent statistical skills. Performed testing and statistical analysis to estimate particle size for damage observed on shuttle mission STS-118. Results allowed NASA customer to improve ballistic equation models used for prediction purposes. Changes resulted in less expense for design and test and reduced schedule for future vehicle shielding.

Excellent communicator. Developed and presented briefing on test results to NASA, commercial customers, and test facility staff. Led discussion to resolve problems with testing and establish new direction for test program. The new direction enabled the Program to be completed before the end of the fiscal year deadline.

Hamilton Sundstrand/NASA- Johnson Space Center Houston, Texas

Orbital Debris Scientist 1/2011 to 5/2013

Combine disparate pieces of data to form a coherent story. Solved a vexing problem with a hardware limitation. Learned and used Fortran 77 and MATLAB to write programs that combined observational photometric data and look-angle data obtained from Air Force orbit propagation software to enable photometric and spectrographic analysis of light curves. Enabled NASA to provide rationale to allocate scarce high-value assets for gathering additional information to support continued planning for removing rocket bodies in orbit.

Hamilton Sundstrand/NASA- Johnson Space Center Houston, Texas

Sr. Battery Engineer 11/2006 to 1/2011

Program Management. Recognized by NASA for driving and coordinating the effort to replace nickel metal hydride batteries in two EVA battery systems. This was accomplished a month ahead of schedule and 10% under budget.

Analytical skills. Created program in MATLAB using information extracted from a research paper to develop design parameters for coils to be built for wireless power-transfer research. MATLAB results saved significant amount of grant money by avoiding the usual trial-and-error method. The results also contributed to maintaining the budget and schedule for the Program.

SAIC/NASA-Johnson Space Center Houston, Texas

Reliability Engineer/Data Analyst 1/2002 to 11/2006

Excellent statistical skills and communicator. Developed Weibull distribution probabilistic models of time-to-failure of the Shuttle Inertial Navigation System for key failure modes from the NASA KSC PRACA database. Provided predicted time-to-failure, providing key NASA stakeholders with metrics to gauge the health of critical space-based components. The results provided NASA Management with higher quality information to base their decisions to mitigate risks. This report became the standard for future NASA reports of this nature.

EDUCATION:

SUNY at New Paltz, New Paltz, New York Masters Physics

Brigham Young University, Provo, Utah Bachelors Physics

National Education Center, Tampa, Florida Associates Electronics Technology

ADDITIONAL TRAINING:

Actuarial Science exams covering: Probability and Statistics, ANOVA, Multivariate Regression, Time Series, Interest Theory, Numerical Methods and Operations Research.

Supervised and Unsupervised Learning, Multivariate Statistics, Bayesian Models, Neural Networks, Cluster Analysis

COMSOL, Pro-E, Advanced Weibull Analysis, and Spread Sheet Engineering

Laboratory Skills: FTIR, BET, digital microscopic measurements, wet chemistry

LANGUAGES

Spanish, Portuguese, and Papiamentu

PERSONAL INTERESTS:

Passionate about Swimming, Cooking

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