Software Engineer Data Analyst

Johan Guillen Meza Data Analyst

Seattle – WA, United States

H 206-***-**** B **************@*****.***

Education

University of Washington Seattle, Washington, United States MSc Degree in Applied and Computational Mathematics 2022–2023 Relevant coursework for the role:

{ Computational Methods for Data Analysis: Review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression. Python programming.

{ Numerical Optimization: Methods of solving optimization problems in finitely many variables, with or without constraints.

{ High Performance Scientific Computing: Introduction to hardware, software, and programming for large-scale scientific computing. Overview of multicore, cluster, and supercomputer architectures; parallel computing paradigms and languages; graphics and visualization of large data sets; validation and verification and scientific software development. C++ programming. Costa Rican Institute of Technology(ITCR) Cartago, Costa Rica Licenciate Degree in Electronics Engineering 2016–2021 Work Experience

Industry. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Software Engineer

Avionyx S.A. October 2021–May 2022

{ Tested the code and prototypes for next generation aviation equipment.

{ Developed Test Cases following the means of compliance for software and hardware certification.

{ Created requirements from code or other inputs based on a reverse engineering process.

{ Generated detailed documentation on the testing results for the client. Academic. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pattern Recognition and Machine Learning(PARMA) Group ITCR Worked as a Research Assistant on Semi-Supervised Learning for clustering identification January 2021–November 2021 Costa Rica team for the International Genetically Engineered Machine(iGEM) Competition Worked as a Research Assistant in charge of building bio-mathematical models. March 2020–November 2021 Machine Learning-Data Science Program ITCR

Worked as a Teaching Assistant in charge of grading coding projects. June 2021–July 2021 Awards and Honors

2021: Silver Medal, International Genetically Engineered Machine(iGEM) Competition

{ I built bio-mathematical models, applying differential equations, the Gillespie algorithm for stochastic simulation and Markov Models for analyzing the behavior of a genetic biological counter based on serine integrases. 2019: Honorable Mention, XXVI International Mathematics Competition,Blagoevgrad, Bulgaria Memberships

iGEM Engineering Committee

Software Group January 2022–Present

{ Created a script that connects to an API in order to calculate a genomic sequence complexity score and store the information in the SBOL data model.

{ Collaborate developing and giving maintenance to software infrastructure for the organization. Skills

OS: Windows, Linux

Programming languages: Python, C++, MATLAB, HTML, Javascript Others: LATEX, Microsoft Office, Mathematica, Docker, Tableau, SQL, Git, GitHub Actions Languages

English(Fluent), Spanish(Native)

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