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% Resume in Latex
% Author : Wilmer Gonzalez
% Based on: Sourabh Bajaj repo
% License : MIT
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% DOCUMENT MAIN
\begin{document}
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% HEADING
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\textbf{\href{https://linktr.ee/wilmerags}{\Large Wilmer A. Gonzalez S.}} & \href{https://github.com/wilmeragsgh}{ \faicon{github} \color{urlcolor} wilmeragsgh} \\
\href{mailto:wilmeragsgm@gmail.com}{wilmeragsgm@gmail.com} & \faicon{code} Python, R\\
\textsl{\small \latestVersion} & \textsl{\small \otherThemeRef}
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% EXPERIENCE
\section{Experience}
\resumeSubHeadingListStart
\resumeSubheading
{UNDP (ONU)}{Caracas, VE}
{Data Science Consultant}{August 2019 - Present}
\resumeItemListStart
\resumeItem{
Designed and develop workflows for topic modeling and community detection to analyze hundred-thousand-scale text and network data.}
\resumeItem{Sped up the analytical workflow by 75\% by redesigning the sampling strategy for jobs.}
\resumeItem{Generated CLI tool for automation of predefined analysis workflows.}
\resumeItemListEnd
\resumeTech{Technologies}{Python, R, Bash, Gephi and Power BI.}\\
\resumeTech{Theory}{Topic modeling, Community detection, Network Analysis and NLP.}
\resumeSubheading
{Quash.ai}{(remote) Caracas, VE}
{Machine learning engineer}{February 2019 - March 2020}
\resumeItemListStart
\resumeItem{Developed a customer facing API for using our internal credit scoring model.}
\resumeItem{Improved credit scoring model performance of 5 business clients by 15\% by incorporating state-of-the-art ML models adapted for our feature sets and hyper-parameter optimization models.}
\resumeItemListEnd
\resumeTech{Technologies}{Python, R, S3 and Docker.}\\
\resumeTech{Theory}{Credit scoring and Hyper-parameter optimization.}
\resumeSubheading
{Advoqt}{(remote) Caracas, VE}
{Machine learning engineer}{February 2019 - August 2019}
\resumeItemListStart
\resumeItem{Implemented Deep learning model for classifying malicious urls using only urls' text features, achieving 90\% of baseline accuracy by adapting state-of-the-art models on urls classifications.}
\resumeItemListEnd
\resumeTech{Technologies}{Python, Elasticsearch and Spark.}\\
\resumeTech{Theory}{Deep learning and Text classification.}
\resumeSubheading
{Universidad Central de Venezuela}{Caracas, VE}
{Advanced topics in AI(Adjunct Professor)}{October 2018 - Present}
\resumeItemListStart
\resumeItem{Designed and organized course material and resources for topics described in \href{https://bit.ly/2VYchte}{here}.}
\resumeItem{Lectured material for students and grade their assignments.}
\resumeItemListEnd
\resumeSubSubheading
{Introduction to Data Science (Teaching assistant)}{April 2015 - February 2018}
\resumeSubSubheading
{Data Mining (Teaching assistant)}{August 2015 - February 2018}
\resumeItemListStart
\resumeItem{Designed and organized \textbf{practical} course material and resources for topics described in \href{https://bit.ly/2VYchte}{here}.}
\resumeItem{Lectured \textbf{practical} material for students and grade their assignments.}
\resumeItemListEnd
\resumeTech{Technologies}{Python, Latex, R, Weka, Colab, Jupyter and swirl.}\\
\resumeTech{Theory}{Artificial intelligence, Data science and Data mining.}
\resumeSubheading
{Fetcher}{Caracas, VE}
{Data Scientist}{June 2018 - February 2019}
\resumeItemListStart
\resumeItem{Estimated demand of required candidates for sourcing using daily output data.}
\resumeItem{Generated automated allocation algorithm for reducing overload of sourcing teams by 10\% by using linear programming and constraint satisfaction techniques.}
\resumeItemListEnd
\resumeTech{Technologies}{R, Shiny, Latex, SQL and Metabase.}\\
\resumeTech{Theory}{Linear programming and Constraint Satisfaction problems.}
\newpage
\resumeSubheading
{Predictvia}{Caracas, VE}
{Artificial Intelligence}{July 2016 - January 2017}
\resumeSubSubheading
{Artificial Intelligence intern}{February 2016 - July 2016}
\resumeItemListStart
\resumeItem{Performed social network analysis, exploratory data analysis, supervised and unsupervised learning}
\resumeItem{Built and implemented classification models, perform feature engineering and calibrated existing models.}
\resumeItemListEnd
\resumeTech{Technologies}{Python.}
\resumeTech{Theory}{Social network analysis, Attribution models and Recommendation systems.}
\resumeSubHeadingListEnd
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% EDUCATION
\section{Education}
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\resumeSubheading
{Universidad Central de Venezuela}{Caracas, Venezuela}
{B.Sc in Computer Science}{Sept. 2012 -- Jun. 2018}
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\resumeItem{Took elective courses on: Introduction to data science, Advanced topics in data science, Artificial Intelligence, Data mining, Text mining, NoSQL databases, Digital image processing.}
\resumeItem{(Thesis title) AdaBnn: Binarized Neural Networks trained with adaptive structural learning.}
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\hfill \textsl{Following sections items are clickable}
% CERTIFICATIONS
\section{Certifications}
\resumeSubHeadingListStart
\resumeSubheading
{Coursera}{MOOC}
{\href{https://www.coursera.org/account/accomplishments/certificate/MZ7TC7ADV7YY}{R Programming - ID: MZ7TC7ADV7YY}}{Issued September 2016}
\resumeSubSubheading
{\href{https://www.coursera.org/account/accomplishments/certificate/36JC577GBFYD}{Text Mining and Analytics - ID: 36JC577GBFYD}}{Issued August 2016}
\resumeSubSubheading
{\href{https://www.coursera.org/account/accomplishments/certificate/MDWATFKLPH9Z}{Text retrieval and search engines - ID: MDWATFKLPH9Z}}{Issued June 2016}
\resumeSubSubheading
{\href{https://www.coursera.org/account/accomplishments/certificate/TM7T8CJXNV6R}{The Data Scientist's Toolbox - ID: TM7T8CJXNV6R}}{Issued June 2016}
\resumeSubSubheading
{\href{https://www.coursera.org/account/accomplishments/certificate/WYGG7TDFPB3F}{Data Visualization - ID: WYGG7TDFPB3F}}{Issued March 2016}
\resumeSubHeadingListEnd
% ---
% PROJECTS
\section{Projects}
\resumeSubHeadingListStart
\resumeSubItem{\href{https://github.com/wilmeragsgh/adabnn}{AdaBnn: Binarized Neural Networks trained with adaptive structural learning.}}
\resumeSubItem{\href{https://github.com/wilmeragsgh/WarmChat}{WarmChat: This app is a small chat room that classify every message and say weather is an insult or not using four classifiers: svm, random forest, decision trees and max entropy.}}
\resumeSubItem{\href{https://github.com/wilmeragsgh/term_freq_linkedin}{Small tool for generating frequent words analysis on the position names of LinkedIn Connections.}}
\resumeSubItem{\href{https://github.com/wilmeragsgh/shinycker}{Template for Dockerized Shiny (R) application deployment.}}
\resumeSubHeadingListEnd
% ---
% PERSONAL PUBLICATIONS
\section{Personal publications}
\resumeSubHeadingListStart
\resumeSubItem{\href{http://scivisionpub.com/pdfs/diodes-laser-in-office-endoscopic-surgery-center-for-nasal-obstruction-and-snoring-558.pdf}{Sajidxa Mariño, Jesus Lares, Wilmer Gonzalez. Diode’s Laser in Office Endoscopic Surgery Center for Nasal Obstruction
and Snoring. J Med - Clin Res \& Rev. 2018; 2(6): 1-3.}}
\resumeSubItem{\href{https://www.slideshare.net/WilmerGonzalez7/twitter-a-data-source-for-the-academy}{Twitter, A data source for the academy (spanish).}}
\resumeSubItem{\href{https://www.slideshare.net/WilmerGonzalez7/github-social-coding-the-social-network-for-programmers}{GitHub \& Social Coding. Social network for programmers (spanish).}}
\resumeSubItem{\href{https://www.slideshare.net/WilmerGonzalez7/reproducible-research-a-case-of-study-on-allocation-of-university-places}{Reproducible Research. Case of study: allocation of university places in UCV by OPSU (spanish).}}
\resumeSubHeadingListEnd
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% PROGRAMMING SKILLS
\section{Other programming tools}
\resumeSubHeadingListStart
\resumeSubItem{\textbf{Cloud services:} AWS(Lambda, S3, Sagemaker), Azure(Blob storage).}
\resumeSubItem{\textbf{Deep learning frameworks:} Keras, Tensorflow.}
\resumeSubItem{\textbf{R:} dplyr, ggplot, tidyr, shiny, plumber.}
\resumeSubItem{\textbf{Python:} xgboost, sci-kit, pandas, falcon, flask.}
\resumeSubItem{\textbf{Webserver:} Gunicorn.}
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