Software Engineer Data

EDUCATION

• Ph.D Experimental High-Energy Physics

University of Minnesota, Twin Cities, MN, USA

• Double Diploma, Theoretical High-Energy Physics

Abdus Salam ICTP, Trieste, Italy

• BSc. Physics

University Of Buea, Buea, SW Region, Cameroon

WORK EXPERIENCE

• Senior Software Engineer

ECOLAB, St. Paul, USA

• Research Scientist /Data Analyst

CERN/University of Minnesota, Minneapolis MN U.S/Geneva/Switzerland.

• Data Analyst Intern

Presbyterian Printing Press, Ltd, Limbe, SW Region, Cameroon Norbert Tambe Ebai 1

Norbert Tambe Ebai

1047 29th Ave S.E, Apt ”A”

Minneapolis, MN 55414

********@*****.***

www.linkedin.com/in/norbert-tambe-e-462a9161

612-***-****

Nov 2015

Developed a Search Analysis using C/C++, Python and ROOT framework on a Hadoop platform. Implemented Numerical Simulations(Monte Carlo) & Predictive Modeling using Multivariate methods in C/C++, ROOT and Python.

Performed Statistical Inference on distributed computing systems with MongoDB, C/C++ & Python. Developed and implemented numerical solutions to ODE/PDEs using Finite element methods. Aug 2007 - Aug 2009

Mathematical methods of Physics, Model building, Analytical & Numerical Analysis. Sept 2003 - Aug 2006

Physics(Major), Mathematics and Computer Science (Minor) with Embedded system development. Dec 2015 - Now

Sept 2010 – Nov 2015

Implemented Clustering and Calibration algorithms in C/C++ for particle detector device Calibration. Developed python applications to automate data analysis on Hadoop. Setup clusters(nodes) running Ubuntu and Hadoop for large unsupervised data analysis. Designed, developed and implemented models & simulations using Monte Carlo methods. Design & implemented Numerical & Statistical analysis software packages in C/C++ & Python for data modeling and for performing search analysis using predictive modeling and statistical inference. Sept 2006 - Sept 2007

In a team of 4, we developed a MySQL data base for managing computerized driver's license We also developed predictive models(MS Excel & Access) and performed hypothesis tests for modeling the behavior of drivers.

Designed a simple GUI in C# for querying and reporting Driver’s information from MySQL DB. Responsible for GUI development(usingQt and C/C++) for water boiler control application. Developed firmware(C implementation of ware washing control algorithms) for PIC18/24/dsPIC MCUs. Developed a Postgres Database for a water boiler, wash washing controller application. Developed Master-Slave (mDot -to- PIC24) communication for sensor data collection & transfer to the Cloud using Modbus RTU/RS-485 and MQTT/LoRa protocol. Responsible for developing Mobile Application using Xamarin(C#)/AngularJs and Native Scripts. SKILLS

• Communication

French, English, Italian and Creole(Native).

• Software Languages

C/C++(Native), Python, Java, R, Perl, PSQL, bash Scripting, Node.js, JavaScript, AngularJs + Native Script.

• Data Analysis Tools

Supervised/Unsupervised learning, Re-enforcement Learning, Deep Neural Network with Keras/Theano/Tensorflow, Matlab/Octave, ROOT, Multivariate Analysis, Statistical Inference(Hypothesis Testing), Predictive Modeling, (Non)Linear Regression, Pandas, Sci-kit Learning, StatModels.

• Database Management Systems

PostgresSQL, MongoDB, Hadoop, MS Access, MySQL.

• Mathematical Modeling

Finite Element Methods, Numerical Computations using Gelaken Methods, Monte Carlo Simulation.

• Tools

GDB, Valgrind,Visio, Linux/Android, iOS/Windows, Git, BitBucket, MS Excel, Access, PowerPoint, Eclipse, HP Fortify, Coverity, BitBake.

• Learning & Development

Currently enrolled for the following classes on Coursera, Udemi, edX, PluralSight 1) Machine Learning by Andrew Ng

2) Introduction to Data Science in Python by Christopher Brooks 4) Artificial Intelligence by Ansaf Salleb-Aouissi 5) Building Sentiment Analysis Systems in Python by Vitthal Scrinivasan 6) Data Structures & Algorithms by Robert Sedgewick 7) How to Think About Machine Learning Algorithms, by Swetha Kolalapudi Books and Online Lectures currently reading

1) An introduction to Statistical Learning by

2) Elements of Statistical Learning

3) Artificial Intelligence : A Modern Approach by Stuart Russel & Peter Novig AWARDS & FELLOWSHIPS

• Doctoral Dissertation Fellowship

University Of Minnesota, Twin-Cities, MN U.S.

• Abdus Salam ICTP Scholarship

Abdus Salam ICTP, Trieste, Italy

Norbert Tambe Ebai 2

Norbert Tambe Ebai

2013/2014

2007/2008, 2008/2009

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