YENENEH YALEW YIMER
USA Permanent Resident Seattle, WA 618-***-**** firstname.lastname@example.org
Mathematical modeling, machine learning, and data science enthusiast with 10+ years in predictive modeling, data analysis and visualization.
Extensive research experience in computational physics with solid background in math, algorithms, and scientific programming.
Results-oriented researcher with demonstrated ability to work as a team member and independently.
Outstanding publication record; published 13 scientific articles in peer-reviewed journals (over 130 citations) and presented 22 papers at international conferences.
Experience in multicultural working environments in the USA, the Netherlands, Italy, and Ethiopia.
Ph.D. Polymer Science (Computational): The University of Akron, Akron, OH, USA, Dec. 2014
Advanced Diploma Physics: International Center for Theoretical Physics, Trieste, Italy, Aug. 2005
M.Sc. Physics (Statistical Physics): Addis Ababa University, Addis Ababa, Ethiopia, Jul. 2004
B.Ed. Physics (minor Mathematics): Debub University, Dilla, Ethiopia, Jul. 2000
Advanced: Python (3 yrs), Perl (7 yrs), Fortran (6 yrs), Mathematica (5 yrs), Matlab (4 yrs), and Linux/Unix (10 yrs)
Intermediate: C++ (3 yrs), Shell scripting (6 yrs), Java (2 yr), Tableau (1 yr), R (1 yr), and SQL (2 yrs)
Basic: Hadoop (1 yr), MapReduce (1 yr), Apache Spark (1 yr), Scala (1 yr), and Github (1 yr)
Numerical algorithms, optimizations, Monte Carlo simulations, statistical modeling and analysis, data visualization, and data mining
Supervised and Unsupervised machine learning, Deep learning, and Natural Language Processing
Scikit-learn, Pandas, Numpy, Seaborn, Cufflinks, Matplitlib, NLTK, Keras, and TensorFlow
Postdoctoral Research Fellow: University of Washington, Seattle, WA, USA, Dec. 2014 – Dec. 2016
Researcher: The University of Akron, Akron, OH, USA, Aug. 2010 – Dec. 2014
Researcher: Southern Illinois University, Carbondale, IL, USA, Jan. 2010 – Aug. 2010
Lecturer: Addis Ababa University, Addis Ababa, Ethiopia, Jan. 2009 – Dec. 2009
Researcher: Eindhoven University of Technology, Eindhoven, The Netherlands, Oct. 2005 – Nov. 2008
MACHINE LEARNING AND DATA SCIENCE
Applied machine learning algorithms, logistic regression, random forest, SVM, neural networks, k-means, to address consumer retention, churn and recommendation systems using Python (scikit-learn).
Analyzed and visualized geospatial data sets using Python (Panda, Seaborn, matplotlib) and Tableau.
Applied Natural language processing to classify online reviews based on the text content in the review using Python (NLKT).
Performed fraud detection analysis using deep learning (Python TensorFlow) and random forest classifications (Python scikit-learn).
Analyzed content-based and collaborative-filtering movie recommender system using Apache Spark with Scala on Databricks and AWS.
Cloud computing experience using Apache Spark and MapReduce on AWS, Databricks, and IBM Analytics
RESEARCH EXPERIENCE (Highlights)
University of Washington, Seattle, WA (Dec. 2014 – Dec. 2016), Postdoctoral Research Fellow
Performed atomic-level molecular dynamics simulations of proteins (up to 0.5 million atoms) at air/water interfaces and in solution using high performance computing Linux cluster.
Implemented mathematical models in Python to quantify molecular orientations, relaxation, and protein self-assembly from a very long (~0.5 billion time steps) atomic simulation trajectories.
Validated the mathematical model by collaborating with an experimental research group and published the results in a peer-reviewed international journal.
The University of Akron, Akron, OH (Aug. 2010 – Dec. 2014), Researcher
Performed atomic-level molecular dynamic simulations (0.3 million atoms) of a conjugated polymer using high-performance computing Linux cluster.
Developed analysis codes in Perl that convert atomic trajectories to quantified structure, dynamic and interfacial properties; and validated work with experimental measurements and published the results in 3 peer-reviewed international journals.
Implemented an algorithm in Perl to map simulation parameters from all-atom model to coarse-grained model for a conjugated polymer.
Simulated a conjugated polymer using the coarse-grained model that reduced the system’s size by 6x and accelerated it by 100x while predicting structural properties with 95% accuracy.
Eindhoven University of Technology, Eindhoven, The Netherlands (Oct. 2005 – Nov. 2008), Researcher
Developed Fortran code and simulated charge-carrier mobility in disordered host-guest semiconductors.
Fitted the numerical results to physics-based empirical model that was used to simulate devices under different operating conditions; results were published in 2 peer-reviewed international journals.
Developed a Monte Carlo algorithm in C++ that calculated charge-carrier conductivity in molecular-doped semiconductors and validated the numerical results by collaborating with experimental researchers.
RELEVANT COURSES COMPLETED
For Credit: Data Structure & Algorithm, Numerical Methods, Numerical Methods Science & Engineering, Computational Physics, Computer Simulation of Polymeric Material, Statistical Mechanics, Statistical Physics I & I, Mathematical Methods of Physics, and Applied Mathematics I, II, III & IV
Self-Study: Machine Learning, Python for Data Science & Machine Learning, Probability & Statistics, Introduction to Statistical Learning, Data Science, The Complete SQL Bootcamp, Scala and Spark for Big Data and Machine Learning, and Hadoop Starter Kit
HONORS & AWARDS
Scholarship: International Center for Theoretical Physics (ICTP), Trieste, Italy, Sept. 2004 – Aug. 2005
Scholarship: Oromia Education Bureau, graduate study, Addis Ababa, Ethiopia, Sept. 2002 – Aug. 2004
Travel Grant: Proctor & Gamble, Focusing on Industrial Recruitment of Scientific Talent Conference Alumni, Cincinnati, OH, Sept. 2014
Research Travel Grant: DPOLY, Multi-scale Computational Approaches, Denver, CO, Mar. 2014
Research Travel Grant: The University of Akron, APS Mar. 2011, 2012, 2013 & 2014 Meetings
Travel Grant: International Center for Theoretical Physics, Advanced School of High Performance & GRID Computing, Trieste, Italy, Dec. 2009
Mentored 3 high school & 2 undergraduate students that resulted in 2 publications, University of Akron.
Assisted 3 graduate level courses, University of Akron.
Taught 1 graduate and 2 undergraduate physics courses, Addis Ababa University.
Taught high school physics, Dembi and Gore High school.
Served as a member of the committee to allocate the annual college budget to the departments, and able to negotiate a 30% increase in the department’s budget allocation, Addis Ababa University.
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