Software Engineer | Data Analytics
Technically skilled and pragmatic professional with expertise in software engineering and data analysis. Proficient in Python and SQL, with a strong interest in AI/ML and web development. Eager to contribute to a dynamic team, leveraging analytical skills and technical knowledge to drive solutions and efficiency.
B.S. Data Science, University of Maryland, Global Campus
GPA: 3.8 | 6x Dean's List
- Languages: Python, SQL
- Libraries/Frameworks: NumPy, Pandas, Scikit-Learn, Matplotlib, Seaborn, Flask
- Tools: Tableau, Excel, Git, Jupyter
- Areas of Expertise: AI/ML, Data Analysis, Web Development
- Business Analytics - University of Maryland, Global Campus (2023)
- Baseball Pitching Data - Rapsodo (2023)
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NASA Deep Space Food Challenge
Instrumental in the development of data collection protocols using Arduino microcontrollers, enhancing operational efficiency under extreme conditions. -
Twitter/X Bot
Pioneered a social media bot that automates the tracking of technology job postings, leading to a reduction in job search time for users. -
Baltimore Law Chatbot
Engineered a user-centric web application promoting legal literacy on tenant and landlord rights, utilizing advanced NLP techniques to simulate conversational interactions. -
Data Driven Baseball
Developed an end-to-end full stack web application using multimodal machine learning to predict baseball game outcomes based on lineups.