Welcome to my GitHub!

• Master of Science in Data Science - Eastern University (2024- Present)
• Bachelor of Science in Computer Science - Western Governors University (Sep 2022)

Data Science Intern (June 2024 – Present)

• Designed and developed interactive data visualizations to drive strategic business decisions for real-world datasets.
• Performed end-to-end data preparation, including cleaning, feature engineering, and exploratory analysis using Python, Pandas, and NumPy.
• Built and evaluated predictive machine learning models, optimizing accuracy and interpretability to support actionable insights.
• Collaborated in a remote, Agile-style environment, presenting findings to peers and incorporating feedback into project iterations.

Software Engineering Fellow (Mar 2023 – Jul 2023)

• Developed projects from design to deployment while leading 4+ fellows using MVC design patterns.
• Coached by Amazon, Bloomberg, and Capital One engineers on Agile, CI/CD, Git and micro-service patterns.

Machine Learning Engineer Intern & Software Engineer (May 2020 – Apr 2021)

• Led development of a metrics dashboard using Java, Ruby, and MySQL, improving performance by 20%.
• Promoted to Task Lead for 12 teams internationally.
• Performed data cleaning and analysis via Python, Pandas, NumPy, and Seaborn.
• Lead the deployment of Machine Learning applications to production using AWS, uWSGI, and NGINX.
• Fine-tuned DistilBERT model using Ktrain and created an interactive front end using Flask with a 95% accuracy.

• Enterprise & CRM Tools: Salesforce, SAP, Workday, QuickBooks, Peachtree, Microsoft Office Suite, SharePoint, Notion, Asana
• Programming Languages: Python, Java, JavaScript, C++, Apex
• Frameworks & Platforms: Flask, Angular, React, Spring Boot, Node.js, Express, TensorFlow, Keras, PyTorch
• Data Science & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Hugging Face, Tableau, Splunk
• Databases: SQL, MySQL, MongoDB, PostgreSQL, Firebase, SOQL, SOSL
• Cloud & Deployment: AWS EC2, NGINX, Ubuntu, Salesforce Data Cloud
• Salesforce Ecosystem: Administration, Lightning Web Components (LWC), Apex, SOQL/SOSL, Flows, Experience Cloud
• Concepts: Machine Learning, Data Analysis, Statistical Modeling, Intelligent Agent Design, Salesforce Administration

• Full Stack

  • Tech-Task Manager (React / FireBase Database)
  • International Appointment Scheduling Application (JavaFx Front End/ Java Back End/ MySQL Database)
  • Movie-Trailers-Reviews-Application (React Front End / SpringBoot Back End/ MongoDB Database)

• Data Science

  • Forum Recommender: NLP, Flask, AWS
  • Video Summary Maker: LangChain, OpenAI, Streamlit
  • Sparkify_Music_DB_ETL
  • Insight for Cab Investment Firm: Tableau

• Java

  • International Appointment Scheduling Application
  • DependencyInjectionSpringBoot
  • Movie-Trailers-Reviews-Application

• Python

  • Package Delivery Application (Data structures and Algorithms Demo)
  • Sparkify_Music_DB_ETL

• Javascript

  • Tech-Task Manager
  • Real-time_Weather-Application
  • Jiffy
  • Marmalade
  • Movie-Trailers-Reviews-Application
  • Movie-Search

• Salesforce

  • Salesforce Agent for LG
  • Currently preparing for my Salesforce Platform Developer I certification and having fun with Agentforce.
    Trailblazer

• LinkedIn: Melissa Hargis

Feel free to explore my repositories and reach out if you have any questions or collaboration ideas!