Data Scientist
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Experienced Data Scientist with a strong background in data-driven decision making, machine learning, and statistical analysis. Proven ability to deliver actionable insights through data analysis, predictive modeling, and algorithm development. Proficient in Python, SQL, and machine learning techniques to create end-to-end solutions that solve real-world problems.
Scientist with expertise in data wrangling, visualization, and statistical modeling. Passionate about applying data science to solve complex problems and drive business outcomes. Eager to collaborate and continuously learn new technologies to optimize data workflows.
Data Analyst and Technical Project Manager with a strong foundation in cloud-based application development, data integration, and machine learning.
Inc., led the end-to-end development of a web-based SDS management system using Flask and Azure, significantly improving data processing and accessibility. Automated supply chain workflows and implemented predictive models for greenhouse gas emissions using Python and machine learning. Spearheaded AI/ML strategy across the organization by establishing scalable deployment standards.
Previously, as a Digital Manufacturing Intern at Westinghouse, developed real-time manufacturing analytics tools using Python and Oracle SQL, enhancing operational efficiency. Early research experience with NASA WV Space Grant involved creating data-driven applications that drastically reduced material waste and machine time in advanced manufacturing environments.
Skilled in Python, SQL, Flask, Azure, and statistical modeling, with proven success in driving digital transformation and data-driven decision-making across technical domains.
My Degree in Industrial Engineering laid the groundwork for data science, providing a strong basis in the fundamentals. Expanding upon that by becoming certified in data science by Codecademy post graduation.
