About Me
I am an enthusiastic data scientist who is deeply passionate about diving into code and fully immersing myself in the process of building something remarkable out of nothing. Throughout my journey, I have primarily been self-taught, fueled by an unwavering passion for the industry. I firmly believe that the vastness of knowledge in this field is boundless, and that realization is what truly excites me. The prospect of constant learning and discovering better approaches to problem-solving fuels my drive to excel. I am always eager to embrace fresh challenges and contribute to a shared objective with my expertise.
Skills
Experience
Education
- Languages
Proficient in Python, Swift, C#, HTML5, CSS, SCSS, and Javascript. - Data Science and Machine Learning
Expertise in Panas, PySpark, TensorFlow, Numpy, Jupyter Notebook, Jupyter Lab, Lambda, and AWS. - DevOps and Cloud
Experience with Docker, AWS, and Apache Airflow. - Data Visualization
Skilled in Tableau and Microsoft Excel. - Version Control and Collaboration
Proficient with Git and GitHub. - Front-End Frameworks
Command over jQuery. - Web Scraping
Proficiency in BeautifulSoup. - Mobile Development
Experience with Apple technologies and Swift. - Data Analysis and Manipulation
Expertise in Pandas and NumPy. - Database Management
Experience with MySQL, PostgreSQL, and MongoDB. - Back-End Frameworks
Hands-on experience with Django. - Statistical Analysis
Knowledge of SciPy, Statsmodels, and Scikit-Learn. - Collaboration and Communication
Proficiency in platforms like Slack, Discord, and GitHub Pages. - Interactive Web Experiences
Experience with Canvas. - Real-Time Data Processing
Expertise with Kafka. - Markdown and Documentation
Experience in using Markdown for documentation. - Operating Systems
Familiar with Ubuntu as an operating system. - Database Querying
Strong command of SQL. - R Programming
Knowledge of R for implementing statistical models and visualization techniques.
- Intelliware Solutions - Data Scientist (2020 - Present)
Developing AI-driven solutions, using AI and Machine Learning to extract valuable insights, fostering innovation across various industries. - Contract Data Engineer (2020 - 2022)
Honing skills in Python development within the Django framework, managing ETL processes on large data lakes, establishing data pipelines, and message aggregation using AWS, PostgreSQL, and SQL. - 4s Pipeline Services - Project Manager (2019 - 2020)
Managing pipeline construction and directional drilling services, introducing data analytics into the project management process, and handling resource allocation and budget constraints. - United States Air Force - Various Roles (2010 - 2017)
Performing various management roles including Security Operations, Tactical Response Force, Nuclear Security Operations, and Logistics and Operations.
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Harvard Extension School - Master's degree, Data Science (current)
I am currently enrolled in the Master's in Data Science program at Harvard Extension School, where I am gaining hands-on experience in advanced programming languages and tools. The program is sharpening my analytical skills through courses that cover data modeling, machine learning algorithms, and artificial intelligence techniques. I am also developing business intelligence acumen, learning to translate complex data into actionable insights. As part of the curriculum, I am working towards a capstone project that involves real-world data science applications in collaboration with industry partners. This comprehensive program is equipping me with the multidisciplinary skills required to excel in various data science roles. -
Codeup - Data Science (2021)
Fully-immersive, project-based 22-week career accelerator that provides students with 670+ hours of expert instruction in applied data science. Students develop expertise across the full data science pipeline (planning, acquisition, preparation, exploration, modeling, delivery), and become comfortable working with real, messy data to deliver actionable insights to diverse stakeholders.
Skills: Python - SQL - Pandas - Spark - Matplotlib - Seaborn - Machine Learning - Natural Language Processing - Data Storytelling - Github - Jupyter Notebooks - Applied Statistics - Anomaly Detection
Codeup’s programs are approved and audited by the Texas Workforce Commission as well as the US Department of Veterans Affairs. -
University of Arizona - Bachelor's degree, Psychology (2019)
Studied business systems development, information assurance and security, project planning and implementation, database concepts, principles of supervision, leadership and motivation, criminal justice, human formal and informal logic, industrial and organizational psychology, abnormal psychology, statistics for the behavioral and social sciences, and theories of personalities. -
Non-Commissioned Officer Academy - Operations Management and Supervision (2015)
Training on advanced management and supervisor duties, encompassing performance evaluations, conflict resolution, mentorship, task-prioritization, team management, public speaking, and effective oral and written communication.
