Melissa Hargis
Skills
Programming Languages: Python, Java, JavaScript, Apex, C++, SQL
Data Science & Machine Learning: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Hugging Face, LangChain, Tableau
Databases: MySQL, PostgreSQL, MongoDB, Firebase, SOQL, SOSL
Cloud & Deployment: AWS, Docker, Kubernetes, NGINX, Ubuntu, GCP Foundations
Enterprise & SaaS Platforms: Salesforce, Data Cloud, SAP, Workday, QuickBooks, SharePoint, Notion, Asana, Microsoft Office Suite
About
Data Scientist and M.S. Data Science candidate with a B.S. in Computer Science and experience in machine learning, data analytics, software engineering, and AI applications. Skilled in Python, SQL, data visualization, statistical analysis, and predictive modeling. Experienced working with public, business, and healthcare datasets to identify trends, build analytical solutions, and communicate insights to technical and non-technical stakeholders. Passionate about using data to solve real-world problems in public policy, healthcare, civic technology, and business operations.