Full time position in data science/data analytics leveraging my unique combination of mathematics, statistical analysis, and programming skills
BS Mathematics with emphasis on Computational and Applied Math, Carnegie Mellon University, Pittsburgh, PA, May 2016
Statistical analysis: R, R Markdown, statistical inference and probability
Mathematical topics: Theoretical/Pure Math, Numerical analysis, Operations research, Matrices/Algebraic/Linear transformations
Programming languages: C/C++, Python, Java, PBASIC, Android Development
Math Software: LaTeX, Mathematica, Maple, MATLAB
Cavium, Inc, Engineering Internship, CPU Architecture Group Summer 2015
Engaged in two projects during my internship:
Deployed a cloud-based environment for Cavium to supplement scarce internal computation capacity. Created Python-based Linux scripts and used MIT’s StarCluster, an open source tool for managing virtual machines, to allow architects to easily submit computational intensive simulations jobs to Amazon Web Services as needed. Conducted and presented a cost and performance (QoS) analysis of using cloud-based vs. procuring additional internal compute resources.
Developed Python scripts to analyze the effectiveness of address hashing algorithms for mapping physical memory addresses to CPU cache lines. . Simulated workload in the form of memory access patterns and stride sizes. Simulated multiple datasets and hash algorithms, analyzed the spreading characteristics to sets and ways of the cache, and identified hot spots of line contention. Presented the findings to CPU architects for future design/architectural considerations.
Renewable Energy Testing Center (RETC) Summer Internship Summer 2014 and 2011
Developed a tablet-based Android app to track solar panel test flows. Synchronized barcode serial numbers on the panels with details on each panel in a MySQL database server. Used Eclipse to write the app in Java and XML, while the backend was coded in PHP.
International Space Station Science Experiment. August 2011 to May 2012
As Payload Technical Leader of a 9 member student-led team in high school, I led the research to design, build, and place an electro-plating experiment aboard the ISS in 2012. As Electro-plating has the potential to be purer in micro-gravity, this experiment may lead to better maintenance solutions for the ISS.
Brian James Hu
Data Analysis Projects that take given datasets (such as real estate sales, economic mobility, and bicycle rental patterns), applied linear regression models of the data, histograms, normality plots and residual plots using R markdown. Presented the data science finding reports with relationship inferences of the dataset made from analysis of said regressions.
Implemented a Peg-Solitaire solver that analyzes the initial board configuration and determines a winning solution (if one exists) using a DFS algorithm. The program inputs moves until an unsolvable configuration is reached and then backtracks to a point where a new move can be made. My implementation was optimized by storing previous configurations in a hash table to improve speed and efficiency
Data Analysis and Applied Math:
oAdvanced Data Analysis: A follow on class to Modern Regression, advanced theory of Linear Regression and its applications. Completed 10 data analysis reports of various topics
oModern Regression: An in depth course on building statistical models with an emphasis on Linear Regression and R programming.
oSymbolic Programming Methods: An advanced course on Symbolic Computing, taught in Wolfram Mathematica.
oPrinciples of Imperative Computing: Basic data structures and how to construct algorithms. Labs completed include constructing a text-editor, a Peg-Solitaire solver, and a Virtual Machine. Taught in C.
oGreat Theoretical Ideas in Computer Science: Abstract concepts of Computer Science. Notable topics are Graph Theory, Turing Machines, and the P=NP problem.
oFundamentals of Programming: Introduction to basic programming topics. Taught in Python.
Core Math Classes:
oDifferential Equations and Partial Differential Equations
oPrinciple of Real Analysis I and II
oIntroduction to Probability Theory and Statistical Inference
oLinear Algebra, Matrices and Linear Transformation, Algebraic structures
oConcepts of Mathematics
Putnam Seminar Math Competition: (2012-2015)
National AP Scholar Award
Santa Clara Valley Math Association
o2012 Senior Outstanding Senior Student
Valley Christian High School Quest Math Award