Skills

• Programming Languages: Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow), C++, Java
• Database: SQL, PostgreSQL, MySQL, SQLite
• Visualization: Tableau, Power BI, Matplotlib
• Tools: Git, Excel, Jupyter Notebooks, Jira
• Statistical Analysis: A/B Testing, Regression Analysis, Time Series Analysis

Work Experience

U.S. Army - DEVCOM Analysis Center
Data Scientist & Software Engineer - Team Lead

❮ ❯

• Led 6-person team developing ML-based security tool that improved penetration testing efficiency by 30% using Python.
• Automated ETL pipeline using Python (Pandas) to process security data, implementing data cleaning and standardization procedures that reduced analysis time by 65%.
• Followed Agile SCRUM methodology to manage project timelines and deliverables. Had daily standups and bi-weekly sprints.
• Utilized Git version control for simultaneous development, across many branches.

National Science Foundation - Texas State University
Machine Learning and AI Research Assistant

❮ ❯

• Worked on a team funded by the NSF to develop a Smartwatch fall / injury detection method, in Python.
• Achieved an accuracy of 93% on two datasets of fall and non-fall activities using TensorFlow.
• Relevant Skills: Python, Git, TensorFlow, PyTorch, Machine Learning, Android Development, Jupyter Notebook

NASA - Aerospace Scholar Program

• Developed Python scripts using Pandas and NumPy to automate data collection and preprocessing of physics research data, reducing manual analysis time by 40%

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