Data Scientist

Abbas Arab

Immigration Status: Permanent Resident

Data Scientist

A strong problem solver and simplicity fan with brilliant talent and motivation for building reusable components and frameworks. A cooperative team player leverages expertise in diverse domains of designing predictive models and machine learning algorithms. Experienced in MATLAB, R, Python, SQL and git workflows to build high-performing and reproducible data products.

Work Experience

Research Assistant, George Mason

University

May 2012 to present

Data Science:

Experienced on the entire data science lifecycle: Exploratory data analysis, data preparation and data cleansing, applying feature selection techniques, building predictive model, statistical inference analysis of the results, model evaluation and validation:

• Developing random forest classifier on data from wearable electronic devices.

• Developing a spam/ham classifier using support vector machine.

• Developing anomaly detection using New York Taxi and Limousine commission dataset.

• Developing a linear predictive model on Motor Trend dataset, performing statistical inference to assess significance of the results.

Material Properties Modeling:

• Modeling electrical properties of nano-scale state-of-the-art electronic devices using cutting-edge software Synopsys TCAD.

• Density functional theory calculation of novel two-dimensional materials on atomic scale to investigate quantum phenomenon and assess their potential in post-CMOS industry.

• Modeling thermoelectric properties of two-dimensional materials for applications in wasted-heat recovery.

240-***-****

acy53d@r.postjobfree.com

linkedin.com/in/abbasarab

SKILLS

Application Dev.

Python: Pandas, SciKit-Learn, Numpy,

matplotlib, R: Caret, ggplot2, dplyr,

MATLAB, SQL

Algorithm

General Linear Models

Linear Discriminant Analysis

Support Vector Machines

Neural Networks

Boot Strap

Random Forest

Principal Component Analysis

K-Means Clustering

OS/Environments

Windows, Linux, Unix

Certificates

Johns Hopkins Data Science

Specialization

Data Scientist’s Toolbox

R Programming

Getting and Cleaning Data

Exploratory Data Analysis

Reproducible Research

Statistical Inference

Regression Models

Practical Machine Learning

Stanford University

Machine Learning,

Instructor: Andrew Ng

University of Michigan

Data Science in Python

Abbas Arab 240-***-**** acy53d@r.postjobfree.com linkedin.com/in/abbasarab Data Scientist

NIST – Feb. 2015 to Feb. 2017

Guest Researcher

Material growth using chemical vapor deposition method.

Material characteristics using techniques such as: Raman Spectroscopy, Atomic Force Microscopy, Scanning Electron Microscopy and Electron Diffraction Spectroscopy in order to ensure the material quality.

Designing and fabricating nano-scale field effect transistors in clean room environment

Electrical measurement and characteristics of fabricated nano-devices. Education

George Mason University

2012- 2017, Fairfax, Virginia

Doctoral degree in Electrical and Computer Eng.

Sharif University of Tech.

2009- 2011, Tehran, Iran

Master degree in Electrical and Computer Eng.

AmirKabir University of Tech.

2004-2009, Tehran, Iran

Bachelor degree in Electrical and Computer Eng.

Honors and Awards

Dissertation Completion Grant

Office of Provost, George Mason University, 2017

Summer Research Fellowship

Office of Provost, George Mason University, 2016

Prestigious three-year presidential scholarship

Office of Provost, George Mason University, 2012

Selected Publications

Monolayer MoS2 Nanoribbons as a Promising

Material for Both n-type and p-type Legs in

Thermoelectric Generators

Journal of Electronic Materials, 2016

Anisotropic thermoelectric behavior in armchair and zigzag mono-and fewlayer MoS2 in thermoelectric

generator applications

Nature, Scientific Reports, 2015

Topological insulator Bi2Se3 nanowire high

performance field-effect transistors

Nature, Scientific Reports, 2013

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