Business Automation - Designed 12 AWS business automation projects for email, workflow, and social media solutions and stuff. These targeted some of the most pervasive problems for small businessesUser-Tracking System - Analyzed AWS logs giving me the ability to track my users on my media platformsInfrastructure-as-Code (IaC) - Built & Implemented 12 AWS business automation projects for email, workflow, and social media solutions using CloudFormation. This makes my solutions more consistent and easy to update

Statistical Analysis - Tested and analyzed the relationship between the price of 2967 stocks and roughly 600GB of Twitter data using: Pearson/Spearman correlation testing, Scikit, ROC curves, ridge regression, deep learning, XGBoost, lasso regression, and time series analysisBig Data/Large Datasets - Preprocessed and analyzed 600 GB of raw tweet firehose data and 7 months of daily stock price data from ~3000 different stocks without any specialized servers or processing power which necessitated efficient data managementNatural Language Processing/Sentiment Analysis - Reduced Twitter data to a quantifiable dataset using Flair's sentiment analysis classifier and other NLP techniques like language detectionModel Design/Prediction - Used ROC Curves, Ridge Regression, Deep Learning, XGBoost, Lasso Regression, and time series analysis to build models to predict future stock price movements based on Twitter sentimentEfficient mySQL - Dealt with 600GB of Twitter data using a MySQL server which required efficient database design, MySQL queries, and parallel database accessData Visualization - Visualized data using Plotly, Matplotlib, trend plotting, variable visualization, correlation plotting, and correlation/confusion matricesRaw Data - Started with 600GM of raw data that included many different languages and had to use techniques such as data preprocessing, language classification, and dataset balance testing to clean and understand the dataParallel Processing - The amount of data involved and the timeline of the project required the extra efficiency of parallel processing to meet deadlinesFinancial Data - Worked with Yahoo Finance API and CmcScraper to perform time series analysis on months of financial data along with textual information

Social Media Fundraising - Within weeks of the Covid-19 shutdown, we organized a Covid-19 relief social media strategy that raised ~\$30k in the first month and a little under \$100k that calendar year.Remote Team - Everything at REACH organizationally was fully remote. I handled I.T. for the entire organization and picked the software we used to solve issues stemming from having a remote setup. I also sent bulk emails/texts to people signed up for our weekly meal distributions.Management/Leadership - I managed 25+ individuals along with 5+ teams while they each worked on separate unique tasks to help the organization's mission.Problem Solving - Due to a rapid influx of donations, we needed help running an organization outgrowing its workforce. That summer, internships across the country were canceled, which gave us an opportunity to work with A\&M to develop an online internship program. We had 7 interns that summer and 21 in the fall making our work possible that year.Texting/Email Automation - Wrote Python scripts to use Twilio and AWS SES to automate our texting/email notification system saving volunteers hours of work each weekTechnical Support - Worked with community members who had little technical background to solve their technological issuesOrganizational Software Implementation - Created/managed organizational accounts with Asana, AWS, OnePassword, cloud storage (Google Drive and S3), web hosting, and SlackCyber Security Management - Was in charge of managing the security of organization's password management, cloud storage, web hosting, data security, and proper allocation of resourcesApplication Design/Implementation - Helped design and implement coupon delivery applications at multiple stages of meal distributions that shared coupons for over 20k meals to ~300 familiesDatabase Management - Created databases to securely and efficiently store important user data that was used to automate and assist with projects and campaigns

International Management - Found and leased two properties, hired managers, communicated guidelines, set up office phone systems, organized payroll/banking, and worked with a local lawyer. This office is currently operating and profitable.Self-Directed/Independent Work - Was independent in Mexico and reported back to my managers in the U.S. remotely. It was solely up to me to meet guidelines and goals on a schedule agreed upon at the beginning, which I did successfully.Office IT Setup - Was solely in charge of IT setup and onboarding for this office including phones, internet, and individuals computersTechnical Onboarding - Worked with non-technical people to set up computers and tools they need to accomplish their tasks

Group Representation - My managers needed me to represent the student population's interests when pitching ideas for new applications A&M could add to their student app.Digital Marketing - I worked on multiple digital marketing campaigns with SEO, SEM/PPC, and landing page design/creation. I also have a background in computer automation, so I also have the ability to scale these processes.Strategy Meetings/Proposals - When I wanted to add a new application, I had to write and present proposals to my managers. I then answered questions and concerns about that proposal.Databases - Regularly created, filled, maintained, read, and displayed databases with MySQL both manually and with automated scripts on production servers.Python Scripts - Majority of my work was done in python. I would read and serve API/database data for our applications both on app and web. I would also quite regularly script the work that I needed to get done. Good practice and rarely slower.Web Development \& Accessibility - Designed multiple web applications. Generally, these were meant to display some sort of data, such as a page to display how full parking garages were so students could plan ahead.Code Deployment - Worked with both production and development servers/testing apps. Used GitHub and Gitlab to collaborate and backup code.

Classification/Prediction - Developed software to automate legal paperwork. Used TensorFlow and adeep-learning model to categorize documentsETL - Extracted raw data from documents, classified parts, and loaded necessary contents into my applicationNatural Language Processing - Implemented a bag of words model that utilized Part of Speech (POS) tagging and Named Entity Recognition (NER) for classifier

Data Pre-Processing / Model Testing - Helped with testing and image enhancement for an object detection program for drones. Was recognized in the paper from that summer which is linked on my websiteLinux Server - Ran model tests on a Texas A&M supercomputer using Linux. Managed CPU and memory usage to properly allocate credits for tests

Managing a moving company's Search Engine Marketing and Optimization (SEM/SEO)