Writing software at enterprise scale to deliver value to customers

Scoped, analyzed, and architected software solutions for business problems and client workflowsDeveloped web based software applications for clients using Appian SAIL, XML, and SQLIntegrated applications with external systems via SOAP XML protocols and REST APIsBuilt flexible and user friendly front end interfaces along with fast and efficient back end processesCollaborated within a large team of developers, stakeholders, managers, and business personnelConducted regular code reviews while training and overseeing junior developersLed daily scrums / stand up meetings while maintaining effective AGILE practices

Acting admin for Jira, Confluence, Bitbucket, and Tableau instancesAutomated scheduled task creation in Jira using Python API and IBM Watson to run batch jobsUsed Oracle SQL and sqlalchemy to read, write, and modify queries to large Clarity databasesBuild and deployed various machine learning models to solve various organizational problemsCreated and maintained summary reports in Excel and Tableau to report to relevant physiciansBuilt, maintained, and ran various models in Python both locally and in IBM Watson StudioPresented findings to physicians and executives to use for higher organization level decision making

Built a query platform for genetic data called Gene Seeker using Python, SQL, AWS S3 and RedshiftScaled up the project to handle hundreds of GBs of data with query latency on the order of secondsCreated a front end webpage using Flask and Amazon EC2 instances to allow user input queriesInvestigated several distributed computing technologies such as Spark, Hadoop, Flink, and Kafka

Independently studied and learned basics of R programming and various machine learning methodsQueried data from NIH Genomic Data Commons (GDC) using the GDC and Bioconductor APIsCleaned and utilized this public biological gene data to analyze and model the cancer disease stateUtilized Bioconductor packages in R to analyze and qualify mutant allele frequencies in gene samplesPlotted survival differences between groups on Kaplan Meier curves using the R survival package

Worked online in a self regulated environment designing equity portfolio trading modelsConducted independent research in finance including reading published academic papersUsed Python to analyze financial data and implement algorithmic trading modelsAchieved top 10 performance out of over 200 other competitors by the end of the program

Managed and ran operations for a small family owned franchise motel due to illness within the familyUtilized statistical models, valuation techniques, and comparative analysis against local competitors to calculate profit maximizing standard room rates for local market, increasing profits 25%Negotiated deals and agreements with local competitors to capture overflow trafficOversaw employee work and managed their duties and responsibilities

-Competed on a team in an intercollegiate undergraduate level competition held by NASA-Designed propulsion, thermal, and structural components to a launch abort system-Worked on crew systems components and analysis for a space bound crew module-Dealt with many adverse situations both financially and logistically and found solutions-Extensive usage of mathematics to manage schedules, budgets, flights, applications and more

-Constructed multiple inflatable habitats designed for living on Mars in a team of 8 people-Assisted in efficient task completion by constructing Gantt Charts and project schedules-Presented final project results including project successes and failures to NASA scientists-Created many models, drawings and calculations using C++ as well as CAD software-Successfully used statistical and mathematical models to predict structure stresses and loads