GUSTAVO FRANCO REYNOSO

PO BOX ***** Cell Phone: 917-***-****

Providence RI, 02903 Email: adcoj0@r.postjobfree.com

LinkedIn: www.linkedin.com/in/gustavo-franco-reynoso-5aab795b/ GitHub: https://github.com/gfranco008 Sr. Data Scientist with strong math background and 3+ years of experience. Experienced at creating data regression models, natural language processing, neural networks, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems. Adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models, and performing data management tasks.

WORK EXPERIENCE:

Deloitte, Boston, MA November 2019 - Present

Sr. Consultant Data Science and Data Engineering @ Facebook

• As a sr. consultant, I have helped create pipelines for Facebook’s infrastructure data science team that provide useful insights into database compliance.

• I have created many dashboards to visualize database compliance and appweight metrics.

• Facilitate use of technology-based risk assessment tools or methodologies to review, design and implement solutions

• Participated in and/or lead the development of deliverable content that meets the needs of the client and contract

• Provided coaching to junior staff

•

Technologies = [Tensorflow, Keras, Spark, AWS, Random Forest, Python, Machine Learning, SQL, Redis, Git and more] MRCC Contractor, Boston, MA September 2019 – April 2020 Sr. Data Scientist @ Pearson

• As a sr. data scientist, I have developed a model to predict how online software use will increase or decrease on a weekly basis that we attach to a weekly report to the schools we work with.

• Created a program to forecast future sessions per users.

• Created a documentation heavy environment

• Refactored the current legacy code into python

• Created a coding guide to simplify readability and speed in productiona Technologies = [Tensorflow, Keras, Spark, AWS, Random Forest, Python, Machine Learning, SQL, Redis, Git and more] AthenaHealth, Watertown, MA June 2018 – August 2019 Sr. Data Scientist

• As a data scientist, helped create various machine learning-based tools and processes such as entity resolution processes.

• Conducted statistical analysis and built high quality prediction systems integrated with products. Promoted a code documentation culture so code is easily transferable.

• Selected features, built and optimized classifiers using machine learning techniques such as convolutional neural networks, K-Nearest Neighbor and more.

• With Amazon Web Services as the core cloud computing service I became proficient in AWS services like EC2, S3, CloudWatch, ElasticCache, and ElasticSearch. Created POC for a more cost-effective database, from ElasticCache to ElasticSearch.

• Created S3 buckets in the AWS environment to store files that could be used with the EC2 instance or databases like redis, ElasticCache, and others.

• Used continuous integration tools to automatize the deployment process.

• Worked on entity matching project, enabling minimal information to match candidates with an exact match and high accuracy.

Technologies = [Tensorflow, Keras, Spark, AWS, Random Forest, Python, Machine Learning, SQL, Redis, Git and more] Gustavo Franco Reynoso

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Johnson & Johnson, Providence, RI March 2016 – June 2018 Data Scientist II

• Analyzed customer and sales data to provide relevant insights on the product quality.

• Designed and engineered an end to end forecasting web app for sales data.

• Built predictive models and conduct experiments to gain insights into quality, health of the product and customer usage.

• Cross-collaborated with engineers on building statistical models, applying machine learning techniques for targeted solutions and effectively communicating the analysis and findings through interactive visualizations, documents and presentations.

• Applied sentiment analysis, natural language processing and more when applicable to the project.

• Lead a counterfeit detection project using R and techniques such as Latent Dirichlet allocation, Kmeans, Hierarchal clustering and outlier detection to determine what products were counterfeit and in what part of the world they were being sold.

• Lead a sentiment analysis project, where data was mined from twitter to determine how competing products affected the J&J line.

• Used optimization techniques in python to further optimize the supply chain of J&J in South America. Technologies = [LDA, R, Python, Machine Learning, kmeans, ggplot, Data Mining, Git, Jenkins, Jira, Agile and more] Army National Guard, Cape Cod, MA (Camp Edwards)

Technical Engineer Staff Sargent August 2012 - Present

• Executed battle drills and training with high motivation and dedication

• Surveyed land and completed architectural and mechanical drawings in AutoCAD

• Lead soldiers in projects of different difficulties spanning sewage, structural, road design, landing strips and more

• As a technical engineer I supervise and participate in construction site development in areas such as technical investigation, surveys, drafts and construction plans/specifications.

• Conducted land surveys, made maps and prepared detailed plans for construction projects.

• Lead 14 technical engineers to do survey work, I supervised and approved their design projects and guided them on their different roles.

• Responsible of projects costing over 1 million dollars in Germany, Vermont, and Massachusetts. Applied Data Science techniques to different work aspects to automatize and simplify daily life.

• Used autocad and terramodel to do terrain analysis, maps, surveys and designs. Math and Business Center, UMass Dartmouth, North Dartmouth, MA. February 2012 - December 2017 Tutor and Teaching Assistant

• Helped students understand difficult course material in subjects such as Calculus and Differential Equations

• Graded and recorded exam grades in Excel spreadsheets and provide additional support to professors as needed SKILLS AND CERTIFICATIONS:

Proficient in the use of:

• Microsoft Office

o Word, Excel, PowerPoint, Publisher,

Access

• Architectural and Mechanical Drawings

o AutoCAD

o TerraModel

• Operating systems

o Windows

o Mac OS

o Linux

• Databases

o SQL

o ElasticSearch

o Redis

o ElasticCache

o Postgres

Gustavo Franco Reynoso

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• Languages

o Python

o JavaScript

o C

o R

o HTML

o Matlab

o Mathematica

o Bash

• Other

o Tableau

o Jenkins

o Git

o AWS

o GCP

Languages: Fluent in Spanish and in Portuguese.

Certifications:

o Secrete Clearance

o US ARMY Technical Engineering (2013)

o Machine Learning (2018)

RESEARCH:

Mathematics Department, Scott Field, UMass Dartmouth, North Dartmouth, MA. August 2018- Present Graduate Research Assistant

• Gravitational Waves Classification using Convolutional Neural Networks and Trend Analysis. We are using trend analysis and filtering techniques as input for a CNN with the goal to classify data into gravitational wave or noise. The key part of this research is to develop features that will help increase accuracy at lower signal-to-noise-ratios. Mathematics Department, Sigal Gottlieb, UMass Dartmouth, North Dartmouth, MA. May 2016- July 2018 Graduate Research Assistant

• Strong Stability Preserving Sixth Order Two-Derivative Runge–Kutta Methods. The purpose of this research was to find high order strong stability time-stepping methods with large allowable strong stability time-steps that can be implemented with hyperbolic PDEs.

• Extended Abstract Published for AIP conference Proceedings of ICNAAM 2016 o https://aip.scitation.org/doi/abs/10.1063/1.4992751 Mathematics Department, CSUMS, UMass Dartmouth, North Dartmouth, MA. Spring 2013 Undergraduate Researcher

• Developing High Frequency Trading Algorithms for the Common Man. Developed an algorithm that is able to perform relative High Frequency Trading by using a combination of current algorithmic trading strategies and newly developed approaches to the problem.

EDUCATION:

University of Massachusetts Dartmouth, (North Dartmouth, Massachusetts):

• Bachelor of Science in Computational Mathematics, May 2016.

• Bachelor of Science in Civil Engineering, May 2017.

• PhD Candidate in Engineering and Applied Science, Anticipated Graduation: May 2020. Honors/Awards:

• Robert Thompson Memorial Scholarship Recipient (2015)

• Dean's List: College of Engineering / Liberal Arts (Spring 2012, Fall 2015, Spring 15, 16,17, 18)

• Bertram Berger Memorial Scholarship Recipient (2013) LEADERSHIP:

Army National Guard, Methuen, MA: Sargent Technical Engineer Gustavo Franco Reynoso

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• Serving in the U.S. Army, which has taught me leadership qualities required in any field.

• Designed plans and steak outs for different projects in Germany (Spring 2015). Awards:

• Army Achievement Medal (March 2015, June 2016) for demonstrating superior leadership and knowledge in mission to Germany and JBCC.

• Certificate of Recognition for outstanding achievements (2015 - 2018) Share Esperanza, Dartmouth, MA:

• Cofounder of Share Esperanza.

• Conceptualize, develop and execute projects to better the educational system in third world countries.

• Trained high school volunteers to maintain laboratories that Project Esperanza equipped. ACM Richard Tapia Celebration of Diversity in Computing Conference, Spring 2014,2015 Lessons in Leadership and Civic Responsibility Seminar, University of Massachusetts Dartmouth, Spring 2013 COMMUNITY SERVICE:

Share Esperanza Inc., Dartmouth, MA:

• Cofounder of this Non-profit

• Fundraised money and donations to provide children in third world countries with school and medical supplies

• Built a physics, biology and chemistry lab for two high schools in Dominican Republic. 2012-2016

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