Data Scientist • Software Engineer
I'm a data scientist and software engineer with a background in machine learning, analytics, software development, and cloud technologies.
I enjoy using data to solve real-world problems, uncover meaningful insights, and communicate findings clearly to technical and non-technical audiences alike.
My current interests include:
- Civic & Election Data
- Data Science & Analytics
- Machine Learning
- Natural Language Processing
- Data Visualization
- Cloud Computing
- Salesforce Development
Master of Science in Data Science (2024–Present)
Bachelor of Science in Computer Science (2022)
Data Science Fellow (June 2024 – December 2025)
- Performed end-to-end data preparation using Python, Pandas, and NumPy.
- Conducted exploratory data analysis and statistical modeling.
- Built and evaluated machine learning models.
- Created visualizations and communicated findings through reports and presentations.
- Collaborated in remote Agile teams.
Software Engineering Fellow (March 2023 – July 2023)
- Developed full-stack applications from design through deployment.
- Led teams of 4+ engineers on collaborative projects.
- Worked alongside engineers from Amazon, Bloomberg, and Capital One.
- Utilized Git, CI/CD workflows, and modern software engineering practices.
Machine Learning Engineer Intern & Software Engineer (May 2020 – April 2021)
- Developed operational analytics dashboards using Java and MySQL.
- Led collaboration across 12 international teams.
- Built and deployed machine learning applications using AWS.
- Developed NLP solutions using DistilBERT and Flask.
- Deployed applications using AWS, NGINX, and uWSGI.
Python | Pandas | NumPy | Matplotlib | Seaborn
- Analyzed county-level election returns from the MIT Election Data and Science Lab (MEDSL)
- Calculated county-level changes in voter participation between 2020 and 2024
- Merged election data with County Health Rankings datasets
- Conducted statistical analysis and visualization
- Produced research-style findings explaining turnout patterns and participation changes
NLP | DistilBERT | Flask | AWS
- Built and deployed an NLP-based recommendation system
- Fine-tuned DistilBERT language models
- Developed an interactive Flask front end
- Deployed the application to AWS
LangChain | OpenAI | Streamlit
- Generates AI-powered summaries of long-form video content.
Python | SQL | Data Engineering
- Designed ETL pipelines for music streaming analytics.
Tableau | Business Analytics
- Evaluated market and investment opportunities using exploratory data analysis and visualization.
React | Firebase
- Task management platform with authentication and cloud storage.
Java | JavaFX | MySQL
- Desktop scheduling application supporting multiple countries and time zones.
Spring Boot | MongoDB | React
- Full-stack movie review application with REST APIs and database integration.
- Agentforce implementation using unstructured data
- Data Cloud integration
- AI-assisted customer support workflows
- Salesforce Certified Administrator
- Salesforce Platform Developer I (In Progress)
🔗 Trailblazer: https://salesforce.com/trailblazer/melissahargis
Python • Java • JavaScript • Apex • C++ • SQL
Pandas • NumPy • Matplotlib • Seaborn • Scikit-Learn • Tableau
Hugging Face • DistilBERT • NLP • Predictive Modeling
MySQL • PostgreSQL • MongoDB • Firebase • SOQL • SOSL
AWS • Docker • Kubernetes • NGINX • Ubuntu • GCP Foundations
Salesforce • Data Cloud • SAP • Workday • SharePoint • QuickBooks
- Organized community engagement initiatives and voter outreach efforts.
- Participated in large-scale phone banking and civic engagement campaigns.
- Contributed to fundraising efforts that generated over $100K in a single evening.
- Volunteer transporter
- Emergency foster support
- Multi-state rescue coordination
- LinkedIn: https://linkedin.com/in/melissa-hargis
- GitHub: https://github.com/Tamiyo22
- Portfolio: https://melissahargis.netlify.app
- Trailblazer: https://salesforce.com/trailblazer/melissahargis