Created a web app that ingests public data on reservoir and river heights and presents the data in an intuitive display to inform the Trinity River Authority on when to release water from reservoirs. Actively used by Trinity River Authority employees in daily operations.

Built a full-featured machine learning codebase to quickly and repeatably test research ideas which produced the core research findings in my machine learning research paper. Each step of the machine learning process was abstracted and specified explicitly (data set, data transformation, train/val/test split, machine learning model, hyperparameters, evaluation metrics, experiment scheduler) which dramatically sped up exploration while ensuring the entire machine learning process was repeatable.

Established company software development lifecycle processes from conception to production/operation.

Developed and deployed a web portal to allow Dallas/Fort-Worth residents to apply for housing assistance and check the status of their application.

Engineered and deployed a new internal operations platform, replacing the outdated intranet and integrating with Microsoft Office 365, to improve operational efficiency and accelerate delivery of process improvements.

Developed and deployed stock trading bot using unofficial RobinHood API, pub/sub messaging queue to connect buy and sell processes, and Twilio SMS api to send text message updates of orders and status messages.

Built a codebase to dynamically generate high quality research paper figures for data intensive research projects which require thousands of figures to be generated.

Integrated CRM with USPS Address Validation API service to standardize stored addresses and identify duplicates that could arise from formatting differences.

Cleans public census data, calculates intermediate metrics, and prepares data tables for research reports.

Converts public census data into geospatial maps showing statistical trends in census data and exports the maps into image files.

Wrote a script that sent rental unit information to a rent comparable API which provided the estimated fair market rent and generated a report of the comparable units used to create the estimate, then stored the estimate in the CRM for use in other workflows.

Leveraged Amazon ADS API to create automated bid manager that creates/raises/lowers bids according to ad performance and other strategies.

Developed AI chatbot to handle customer FAQs that reduced support emails by 80%.

Content scraper that finds and downloads all related creative commons Wikimedia content based on a starting table.

Presented research data using interactive web-based graphs and tables.

Trained and deployed image classification machine learning model with public facing UI that categorizes uploaded images.

Built a platform for a client who wanted to create their own directory of consultants similar to Angie's List.

Improved deliverability of existing donor addresses by scraping and comparing high quality public records.

Wrote a variety of custom scripts for workflows that could not be addressed with out-of-the-box functionality.

Placed in top 5% of machine learning models in global stock prediction competition. Accomplished by using XGBoost and adding small amounts of noise to training data to find local maxima that other competitors could not find because they would overfit the training data.

Wrote script to automatically calculate financial assistance due clients based on client details, applicable regulations, and previous assistance received.

Built and deployed a simple React UI that displays one industry from NAICS with one professional skill from SFIA to generate potential new business idea combinations, and as a toy project to learn React.

Modifies image files so that they can be used in reports, removing unwanted layers and making adjustments like adding shadows, then exports them.

Developed and deployed a web portal to organize the staff of 20+ partner organizations and integrated with CRM.

Created a web app that ingested public data on rain intensity and river height to predict if/when roads will flood for the City of Carrollton, TX. Actively used by first responders to plan road closings.

Simple document scraper which returns information about classes in college course catalogs of various major universities.

Created a web app that ingested public data on rain intensity and river height to predict if/when roads will flood for the City of Grand Prairie, TX. Actively used by first responders to plan road closings.

Built custom programmed employee self-service payroll system that ingests a single master payroll file each pay period and then uses optical character recognition (OCR) to determine employee id and pay amounts on individual payroll, stores scraped information in a database, and provides a login portal and user interface for staff to securely access their historical payroll information at their leisure.

Developed and deployed an ETL server that ingested and served data to DFW Airport for use in a $1.5M research project.

Reduced operating costs by $15M through leveraged process improvements.

Achieved a 90% reduction in helpdesk backlog and a 75% decrease in ticket resolution time by implementing ISO 20000/ITIL concepts.

Developed and managed annual IT Budget exceeding $1M.

Implemented Trello for product backlog management and sprint tracking (Scrum).

Slashed company mobile phone expenses by 13% by collecting bids from other mobile phone service providers and then renegotiating service with existing provider.

Promoted a variety of products for clients through Amazon Advertising.

Purchased and sold multiple high value domain names for a profit.

Performed data collection and cleaning for a client conducting an ad-hoc research project.

Acted as administrator over staff training platform (Yardi Aspire).

Led staff onboarding team, teaching new staff about company processes/procedures.

Initiated a five-year plan to improve reporting through automation, enhance decision-making with interactive dashboards, and enable the use of advanced data analysis techniques such as machine learning and AI.

Nonprofit client had 100+ chapter offices. This platform allowed the Nonprofit to provision each chapter office with their own website while retaining admin access/control.

Promoted a variety of products and services for clients through Facebook Advertising with significant success, most notably a 92% reduction in CPC from $3 to $0.24 in a highly competitive industry.

Published 6000+ course specific college notebooks on Amazon (no longer listed), designed and published using custom-built automation tooling (course listing scraping, cover design, amazon listing descriptions, submission for publishing).

Acted as administrator of ESRI licenses including ArcGIS software and extensions.

Experimented with drop-shipped products primarily marketing with Facebook Ads pointing to single-product landing pages.

Performed statistical data analysis for a client conducting an ad-hoc research project.

Acted as Miro administrator.

Performed report writing for a client conducting an ad-hoc research project.

Managed Active Directory Users, Security Groups, Distribution Groups, File/Folder Permissions, IT Onboarding/Offboarding processes, and other Active Directory Administrator functions.

Developed and deployed research consortium website to organize body of work of several professors from different universities for use in obtaining research grants.

Purchased books from other websites and local vendors and resold on Amazon for a profit.

Supported onboarding and implementation of new procurement management platform (Bonfire).

With licensing agreement, sold merchandise with client's logo on a variety of products to increase visibility and generate royalties without managing inventory.

Performed geospatial mapping of data for a client conducting an ad-hoc research project.

Managed O365 Licences, Security, Exchange Mail, Compliance Searches, AD Sync Server, and other O365 Administrator functions.

Appointed to serve on employer's retirement plan committee responsible for representing staff's interest in management and changes of employer's retirement plan.

Led staff training program, teaching existing staff about company process/procedures especially any processes that have changed.

Sold cryptocurrency related merchandise with custom graphics to cryptocurrency enthusiasts.

Acted as administrator of Zoom licenses.

Appointed to serve on employer's investment committee responsible for investment decisions of employer's assets.

Acted as administrator of onsite VMWare vSphere ESXI Cluster.

Acted as administrator over company ERP system (Yardi Voyager) which included the majority of company processes.

Acted as administrator over customer service and special projects CRM System (Salesforce).

Evaluated and deployed discussion forum for nonprofit client's membership.

Acted as administrator of Tableau licenses.

Acted as GitHub organization administrator.

Acted as administrator over camera system web portal (Hitachi Smart Camera).

Sold a digital template solution for writing memorandums of understanding that utilized word macro questions to guide users to complete the document.

Led implementation of new staff training platform (Yardi Aspire).

Led efforts to document all company processes/procedures.

Acted as administrator over special projects CRM system (Zoho).

Represented employer in regional working group composed of other technology leaders to facilitate regional technology change across organizational boundaries.

Led transition to a new main company website through vendor selection, contract management, new website launch, and ongoing operations/maintenance.

Acted as administrator over domain names, DNS records, and SSL certificates.

Developed and deployed research project website outlining research being done and providing a location for file downloads.

Led annual inventory of IT Equipment.

Analyzed data relating to regional patterns of inequity, wrote up findings, and provided results to local housing authorities.

Trained new team members on how to use ArcGIS software.

Abstract: Heavy rainfall leads to severe flooding problems with catastrophic socio-economic impacts worldwide. Hydrologic forecasting models have been applied to provide alerts of extreme flood events and reduce damage, yet they are still subject to many uncertainties due to the complexity of hydrologic processes and errors in forecasted timing and intensity of the floods. This study demonstrates the efficacy of using eXtreme Gradient Boosting (XGBoost) as a state-of-the-art machine learning (ML) model to forecast gauge stage levels at a 5-min interval with various look-out time windows. A flood alert system (FAS) built upon the XGBoost models is evaluated by two historical flooding events for a flood-prone watershed in Houston, Texas. The predicted stage values from the FAS are compared with observed values with demonstrating good performance by statistical metrics (RMSE and KGE). This study further compares the performance from two scenarios with different input data settings of the FAS: (1) using the data from the gauges within the study area only and (2) including the data from additional gauges outside of the study area. The results suggest that models that use the gauge information within the study area only (Scenario 1) are sufficient and advantageous in terms of their accuracy in predicting the arrival times of the floods. One of the benefits of the FAS outlined in this study is that the XGBoost-based FAS can run in a continuous mode to automatically detect floods without requiring an external starting trigger to switch on as usually required by the conventional event-based FAS systems. This paper illustrates a data-driven FAS framework as a prototype that stakeholders can utilize solely based on their gauging information for local flood warning and mitigation practices.