Data Scientist

Muhammad Elnimr

**** ******** **.

Irvine, CA ***14

H (+1) 205-***-****

B *******@***.***

Multitasking and multi skilled big data programmer looking to leverage acquired skills in academia to make a transition to industry with a comprehensive skill sets in scientific computing using the Linux and Windows platform

Education

2003–2010 Ph.D Nuclear Physics, Wayne State University, Detroit, Michigan. 2003-2007 M.Sc Nuclear Physics, Wayne State University, Detroit, Michigan. 1999 B.Sc Physics, Tanta University, Tanta, Egypt. Experience

May 2015

–present

Data Scientist Researcher, Depart. of Physics, University of California, Irvine, CA, 92697.

{ Designed C++ software based on multivariate linear regression techniques to validate neutrino oscillation models.

{ Improved and maintained the FORTRAN-based online software trigger system for a Japanese physics experiment.

{ The trigger system uses C++ and Python/Bash scripts for a reliable and automated running.

{ Performed statistical data analysis of the recorded data.

{ Applied linear and logistic regression to verify the applicability of physics models.

{ Created dashboards in Tableau to evaluate metrics of the experiment.

{ Used Ca e and Theano to do deep learning and build a neutral network to classify 3D tracks.

{ Other machine learning used:Random Forest, Extreme Gradient Boosting, Support Vector Machine, Decision Tree, Regularized Regression, etc.

{ Other Regression and Classification methods: experience on Deep Learning techniques including Neural Network, Logistic Regression, Decision Trees, KNN, SVM, Random Forest, Linear, Nonlinear, Boosted Regression Trees Keep up-to-date with latest technology trends. Jan 2013

–April 2015

Data Scientist Researcher, Depart. of Physics, University of Alabama, Tuscaloosa, AL, 35487.

{ Developed a machine learning classification framework in C++ using the KMeans and DBScan clustering algorithms for a US-based neutrino experiment.

{ Tuned the Hough tracking algorithm used for reconstructing muon tracks in a neutrino experiment.

{ Utilized a Monte-Carlo simulations system using MATLAB for a dark matter experiment.

{ Used R scripts to visual and analyze the collected neutrino experiment data.

{ Working knowledge of Hive, Pig, Spark and machine algorithms using R. July

2011–Dec

2012

Data Scientist Researcher, Universite de Nantes, Pays de la Loire, France.

{ Developed a cosmogenic Monte-Carlo generator for the purpose of simulation background events to a french neutrino experiment in C++ and Shell scripting .

{ Developed an MySQL backend for the calibration constants for the neutrino experiment. August

2010–June

2011

Part-time Faculty/Researcher, Wayne State University, Detroit, MI 48201.

{ Instructed and graded the Introductory Astronomy Class AST2010 and the Introductory Physics Class PHY1020.

{ Performed research pertinent to the STAR experiment at Brookhaven National Lab. Work . Authorization

{ Green Card

1/2

Computer skills

Basic MATLAB,

Intermediate R, Perl, SQL

Advanced Shell Scripting (Bash/Tcsh), Python, C/C++, Fortran Tools .

{ ROOT,LATEX, MySQL

{ OpenO ce/LibreO ce, SVN/GitHub

{ UNIX/Linux, MS Windows

{ Tableau, Qlikview, RStudio, TensorFlow

{ Amazon AWS, CLI, EC2, Cloudera Manager

{ Hadoop, HDS, Spark, IPython

Certifications

.

{ Udemy: "Deep Learning with TensorFlow" UC-4DAIYX1I

{ Udemy: "Linear and Logistic Regression" UC-I7VO629N

{ Udemy: "Statistics and Data Science in R" UC-DHBBXV78

{ Udemy: "Hadoop, MapReduce for Big Data" UC-22018C82

{ Udemy: "Spark for Data Science with Python" UC-ATL7XZM5

{ Udemy: "Learn by Example:Qlikview" UC-QJV4L3I3

Workshops

UCI . Data Science Initiative

{ Predictive Modeling with Python

{ Introduction to R

2/2

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