Ramon Prieto

github.com/ramonprieto RAMON E. PRIETO linkedin.com/in/ramonprieto Bellevue, WA | ramonepm@outlook.com | 425-502-2439

EDUCATION

Civil Engineering, B.S. (GPA: 3.48/4.00) – University of Texas at Austin May 2016 Data Analyst Nanodegree – Udacity March 2017 • Descriptive and Inferential Statistics, Exploratory Data Analysis with R, Data Visualization

and Storytelling, Relational Databases, Data Mining, A/B Testing

EXPERIENCE
L3 Technologies – Stress Engineer June 2016 – August 2017

• Analyzed stress on aircraft components using Excel and hand calculations • Trained a new team member into self-sufficiency
• Created spreadsheet to calculate fatigue concentrations on metal parts • Wrote substantiation reports to comply with FAA and Military standards

• Coordinated with the design team to deliver 90% of our repairs on time
Greenshores Owners Association – Data Analyst January 2016 – May 2016

• Combined several datasets to build a full representation of the water system in the area
• Investigated data from existing water distribution system using Excel to determine regu-

lation compliance, deficiencies and estimate cost of upgrade
• Determined most efficient flow rate pumps could deliver to water treatment plant and

presented various upgrade alternatives to meet peak demand
• Presented our findings to the association using data visualization dashboards

TECHNICAL SKILLS

Languages: Python, SQL, HTML, R, MATLAB; Familiar with: Java, C, JavaScript Libraries/Frameworks: scikit-learn, NumPy, pandas, IPython, matplotlib, ggplot2, Keras, Spark Other: Git/Github, Excel, Tableau

PROJECTS
Open Street Map Case Study Spring 2017

• Created a data management Python script to audit and clean a large XML file, using Ele- mentTree, and wrote the data into a SQL database

Identify Fraud from Enron Emails Fall 2017 • Built a Naive Bayes machine learning algorithm with scikit-learn and trained it, using

email and financial data, to identify Enron employees who committed fraud
• Fine tuned the model through feature engineering, data wrangling, and finding the ideal

parameters using Grid-search
Dog Classifier Fall 2017

• Built a Convolutional Neural Network that classified dog breeds with 85% accuracy
• Used OpenCV and the ResNet50 model to distinguish between dog and human pictures

with close to 100% accuracy
CryptoFinance Web App Spring 2018

• Used Python/Flask and AJAX to develop a web application that keeps track of the user’s holdings and transactions through a SQL database and a cryptocurrency API

LEADERSHIP EXPERIENCE AND ACTIVITIES
Udacity – Data Analyst Mentor October 2017 – Present

• Provide guidance to students and discuss unfamiliar concepts with them • Communicate improvements that would benefit their work

Adventure Tours – Guide June 2014 – July 2016 •Organized and led 4 person, three week hike in California’s Sierra Nevada

•Educated 6 people about trail conservation and basic survival skills in 2 week hike of the Rockies