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Engineering Data

Midlothian, Virginia, United States
November 28, 2017

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**** **** ***** **, **********, VA 23112 Phone: 804-***-**** Email: EDUCATION

University of Illinois at Urbana Champaign Champaign, Illinois Master of Science Material Science and Engineering May 2017

Program Ranked #2 in 2015 US News Ranking. MIT ranked #1.

Theoretical coursework in Statistical Thermodynamics, Electrochemical Methods, Semiconductor Devices, Dynamics of Complex Fluids.

Machine Learning: Coursework in Machine Learning. Knowledge of scikit-learn, TensorFlow and Keras libraries.

Statistics: First Graduate course in Mathematical Statistics: CDF, Special Distributions, Order Statistics, Maximum Likelihood Estimators, Weak Law of Large Numbers, Central Limit Theorem, Su cient Statis- tics.

Data Analysis: Knowledge of Scipy, Numpy, and Pandas libraries. Coursework in Data Structures: Knowl- edge of Time complexity and C++/Python implementation of Linked Lists, Stacks, Queues, Hashing, Heaps, Sorting algorithms, Binary Search, Trees, 2-3 Trees, Graphs. Virginia Commonwealth University Richmond, Virginia Bachelor of Science Mechanical Engineering May 2012

Coursework in Advanced Engineering Mathematics, Engineering Vibrations, Radiative Heat Transfer, Con- trol Theory, Linear Algebra, Introductory Proofs, Calculus, Di erential Equations.

Performed computational research and published 4 research articles. One of the research articles received over 70 citations.


Zhang Research Laboratory Champaign, Illinois

Performed data analysis in MATLAB to study the data and t a mathematical model that optimally de- scribes the physical phenomena being studied in the experiment. Virginia Commonwealth University (Research Labs) Richmond, Virginia

Performed Multiple Regression Analysis on a three-factorial design matrix consisting of test data generated from numerical simulations in an e ort to develop a predictor equation that illustrates the e ect of predictor variables on a physical phenomena. Used Analysis of Variance (ANOVA) to determine the overall adequacy of the model. Published ndings in:

S.A. Tahir, M. Mital, \Numerical Investigation of laminar nano

uid developing

ow and heat transfer in a circular channel", Applied Thermal Engineering, 39, 8-14 (2012).

Developed simulation packages in Python for approximately one year. Tasks included discretizing the sur- face of interpenetrating cylinders, counting the number of hits bouncing o these cylinder surfaces and using linear algebra to solve an equation.

University of Virginia Charlottesville, Virginia

Numerical simulation to perform nearest-neighbor analysis of atoms to determine the arrangement of other atoms surrounding an atom. Similar in idea to cluster analysis in data, but a bit more complicated.

Attended 2015 high performance parallel computing bootcamp in Python. Learned to divide calculation tasks over multiple CPUs. Obtained a certi cate.

Project #1: Orderbook

Implementation of a simple order book in python using MaxHeaps in which the market clearing price is determined by the price of the buy and sell order being executed. Project #2 Event Driven Trading Engine Implementation

Implementation of a fully self-contained event-driven backtest system written in Python. The code simu- lates high-frequency trading strategies across forecasting, momentum and mean reversion domains in the equities, foreign exchange and futures markets. Derived from the book Sucessful Algorithmic Trading.

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