Core Technologies: Python, MySQL, Spark, Tableau, Pandas, NumPy, Matplotlib, Seaborn, SciKitLearn, Anaconda, Jupyter Notebooks, Git/GitHub
Core Competencies: Data Storytelling, Applied Statistics, Machine Learning, Natural Language Processing, Classification, Regression, Clustering, Time Series Analysis, Anomaly Detection
Primary Focus: Data Analytics
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I am a highly motivated veteran with a diverse background in data science, air traffic control(ATC), and bioenvironmental engineering(BIO). My expertise in data science allows me to derive valuable insights and make data-driven decisions. My experience in ATC showcases my ability to excel in high-pressure environments, attention to detail while ensuring safety. Additionally, my knowledge in BIO demonstrates an interest in sustainable solutions for complex challenges. With a proven track record of success in various fields, I am well equipped to add value to any team by contributing to innovative projects, and drive data-driven strategies.
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My Capstone Project: Decoding Data Jobs (NLP & Classification)
Overview: This project aimed to clarify the job market for aspiring data professionals. Using a dataset of 33,000 job postings scraped from Google, we deployed machine learning models to extract and validate essential skills and qualifications sought in the data job market. Our tool, tailored for potential data job applicants, digs through the complexities of job descriptions, offering insights and trends crucial for those aiming for roles in data science, engineering, and analysis.
Technologies/Tools Used: Python, TF-IDF, Multinomial Logistic Regression, Canva, Web Scraping (Selenium & Beautiful Soup), Pandas, Jupyter Notebook, VSCode, Streamlit, Plotly