KPMG

Used Pyspark to create retention and enlistment models
Used Pyspark to create an airmen recommendation system
Created an optimal matching algorithm to efficiently pair each airman to their best suited position 
Used Flask and python scripting to autogenerate scorecards 
Used Folium to create interactive maps
Created colored maps with geopandas
Created air force base database in Redis
Scraped the web for air force base information
Used Open Street Maps to calculate travel distances from air force bases to schools 
Used convex hulls to plot polygons around schools an hour away from their respective air force bases
Developed school scoring methodologies

Senior Data Scientist

BurnAlong

Used unsupervised learning and dimensionality reduction to create a course recommendation system This system incorporates user data and a user's course history to correctly identify which courses a user will take in the future
Assisted with the MLOps via Flask
Created a validation and A/B testing pipeline
Created dashboards using SQL and Dash

Data Scientist and Machine Learning Engineer

International Consulting Associates, Inc.

Used Machine Learning and NLP to help create a dashboard for the FDA. 
This dashboard allows for more efficient and effective device and regulatory practices.
Implemented data extraction and text cleaning algorithms for the models.
Implemented vectorizers and text similarity models 
Created a probabilistic spelling algorithm for text cleaning
SCRUM Master for the ICA Global team. Perform task management and run the daily SCRUM meetings.

Data Scientist and SCRUM Master

Booz Allen Hamilton

Performed outlier analysis to detect suspicious activity within cellular towers. Outlier detection algorithms were trained on data received from the API.
These algorithms were then implemented within a dashboard.

Data Scientist

Transform client raw data into a usable form. Conducted various software tests to ensure, consistency, quality and performance of our applications. Create, manage the network and security settings for virtual machines. Key agile development team member. Solve merge conflicts and managed branches within github repositories. Demonstrate capability of new applications. Write application documentation.

Data Integration Developer

Perform maintenance to ensure consistency. Provide data quality control through edits, filling empty values and edit false information. Analyze data base structure using data architecture principals. Create CMBD templates and documentation. Create scripts and Excel functions that automate: updates, quality control and consistency checks. Make data visualizations using Excel and ServiceNow. Provide CMDB tutorials and presentation.

Configuration Management Data Base (CMBD) Analyst

Used Public Broadcast System (PBS) game data to construct a machine learning model used to predict the future accuracy and learning ability of children. Participating data scientist developing resource management strategy for UNICEF. Design Chesapeake Bay solutions for increasing water quality. Python vs R Showcase Speaker panelist.

Data Science Company Sponsored Projects

University of Virginia Flemming Laboratory

Developed security enhancements to increase patient protection without hindering operation. Constructed a program to scrape web data for cyber security analysis. Rated each cyber-attack and researched a corresponding defense. Created a decision graphic to visualize the cost and benefit of various cyber defenses. Conducted a decision analysis to determine what cyber defenses should be incorporated.

Research Assistant Intern

University of Virginia Zhen Lababoratory

Zhen, part of the University of Virginia Medical School, is focused on skeletal muscle plasticity signaling mechanisms. Designed and built an automated cage for a mouse health environment project. The cage extends the lifespan and improves the health of mice. Constructing the automated mouse cage involved part design, circuit design, software development, 3D modeling, and 3D printing.

Summit Space Corporation

Support Summit executive team with a variety of technical tasks. Developed a Monte Carlo simulation to model project risks and estimate contingent equity requirements for the $6 billion program. Created a collection of modeling and data analysis/machine learning routines to support project finance analysis. Created a Visual Basic data visualization Excel routine to convert project risk data into a usable graphic. Developed a Monte Carlo based spacecraft component failure model. The model was used to project satellite component failure rates to determine satellite constellation life. The analysis was key to closing a $400 M loan deal. Responsible for revising, updating and maintaining the company website.
Responsible for creating an accurate and reliable deep neural network model for satellite quality classification.

Engineer/Analyst

Pype

Pype Inc is a software startup in Northern Virginia. PYPE provides automated program management software for construction projects. PYPE dominates their construction software niche providing automated solutions to some of the largest construction projects and companies in the world. Clients include Clark, Balfour Beatty, Foulger-Pratt, and MCN. Supported a variety of tasks. Managed the PYPE Salesforce.com system including clientele, sales, and accounts. Managed permissions, accessibility, and clientele status. Identified greenfield customers. Created a cold calling script was successfully in establishing new customers. Created multiple social media mass marketing campaigns for Pype’s clientele. Made desired changes and updates to the Pype’s website.

Sales And Marketing Intern

I’m a senior data scientist at KPMG. I have a master’s degree in Systems and Information Engineering, two undergraduate degrees in Biomedical Engineering, Systems Information Engineering, and an Applied Math minor. I have work experience in industries including defense, cyber security, software development, commercial aerospace, construction, finance, health, and research.

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