Data Assistant

Regis Rutarindwa

*** *. *** *

Street Apt **, Milwaukee, WI, 53233

Phone: 864-***-****. Email: r **********@*****.*** Summary

I am a programmer finishing up graduate work in Computational Sciences. I have extensive experience in data extraction, mining, visualization, and modeling using advanced machine learning principles. I am an enthusiastic programmer looking for opportunities in software development, ideally in Data Science or Predictive Analytics.

Education

Marquette University – M ilwaukee, WI 0 8/2017

PhD in Computational Sciences

GPA: 3.8/4.0

Wofford College – S partanburg, SC 0 5/2012

B.S. with Honors in Mathematics & Physics with a Minor in Computer Sciences Skills

● Git Repository: h ttps://github.com/rutarindwar

● Programming: P ython, C/C++, SQL, R, Matlab, Octave, Unix Shell Scripting

● Tools: Microsoft Azure, Amazon AWS, Weka (Machine learning tools)

● Data Science: Machine Learning, Data Mining, Statistical Modeling, Data Visualization, Parallel and Distributed Systems

Experience

Graduate Research Assistant – M arquette University 06/2014 – Present

● Implemented a data pipeline to acquire, aggregate and run statistical simulations over geospatial data on a distributed system to speed up volcanic risk studies by up to 5x

● Designed and implemented a Bayesian learning algorithm in Python to combine geological data from various sources and reduce model prediction error by up to 4x

● Conceived and executed a simulations workflow using HPC resources and statistical learning methodologies to collect, process, analyze geospatial data

● Created a visualization tool for risk assessment of volcanic hazards used by the U.S. Geological Survey Teaching Assistant – Marquette University 09/2012 – 05/2014

● Organized and supervised classes with more than 20 students each. Held weekly office hours for college-level mathematics courses, including Elements of Calculus, Calculus 1, 2 and 3 Publications

● “P ooling strength amongst limited datasets using hierarchical Bayesian analysis, with application to pyroclastic density current mobility metrics”, Ogburn, Sarah E.; Berger, James; Calder, Eliza S.; Lopes, Danilo; Patra, Abani; Pitman, E. Bruce; Rutarindwa, Regis; Spiller, Elaine T.; and Wolpert, Robert L. Statistics in Volcanology. Vol. 2: 1-26. 2016

● “Observing System Simulation Experiments of cross-layer Lagrangian data assimilation”, Santitissadeekorn, Naratip; Spiller, Elaine; Jones, Christopher; Rutarindwa, Regis; Liu, Liyan; and Ide, Kayo, Dynamics of Atmospheres and Oceans, Volume 66, June 2014, Pages 77-93 Presentations

● “Multi-Objective Sequential Design for Computer Experiments”, SIAM Conference on Uncertainty Quantification, Lausanne, Switzerland, April 7, 2016

● “Combining Mobility Data using Hierarchical Model for Pyroclastic Flow Modeling”, Computational Sciences Symposium, Milwaukee, Wisconsin, USA, April 21, 2015.

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