Hi, I'm Anthony Baptiste

I'm a data-driven problem solver passionate about analytics, machine learning, and optimizing supply chain networks. Currently conducting AI research at Northern Illinois University, where I'm majoring in Operations & Information Management with a minor in Computer Science.

Your Name

About Me

I'm a student at Northern Illinois University majoring in Operations and Information Management with a minor in Computer Science. I’m passionate about applying data analytics, machine learning, and information systems to solve real-world business challenges.

Outside the classroom, I’ve gained hands-on experience through internships in IT, data analytics, and supply chain operations. My work has included automation, dashboard development, and network planning, building solutions that help drive smarter decision making.

I also conduct AI research focused on using large language models for qualitative data analysis and similarity modeling, including developing a custom GPT-based tool to automate these processes.

With a strong foundation in both business and technology, I’m especially interested in how data can unlock efficiency across logistics, operations, and enterprise systems.

Skills & Expertise

Programming & Analytics

  • Python
  • C++
  • SQL/Snowflake
  • Tableau
  • Power BI

Machine Learning

  • Scikit-learn
  • TensorFlow
  • Neural Networks
  • Predictive Modeling
  • LLMs

Supply Chain

  • Logistics Optimization
  • Inventory Management
  • Process Improvement
  • Supply Chain Analytics

Soft Skills

  • Problem-Solving & Critical Thinking
  • Cross-functional Team Leadership
  • Project Management
  • Strategic Communication

Featured Projects

Real-Time Retail Intelligence Platform

Full Stack Data project from Data Engineering to Database Administration, Data Analysis, Data Science and Business Intelligence

Python SQL dbt Airflow Docker Streamlit Tableau
View on GitHub

SmartLogix – Intelligent Transportation & Routing Optimization System

SmartLogix is a full-stack, end-to-end supply chain and operations research platform designed to optimize transportation routing, predict shipment delays, and provide actionable logistics insights.

Python SQL/NoSQL dbt Google OR-Tools Streamlit Docker Tableau
View on GitHub

Amazon employee review analysis

Built a multi-task NLP pipeline to analyze Amazon employee reviews using sentiment analysis (VADER), topic modeling (BERTopic), and semantic similarity (BERT embeddings) to uncover themes in leadership, culture, and attrition.

Python PyTorch SQL
View on GitHub

Call Center Queue Optimization

Simulated multi-server queue systems in Python using SimPy to model call arrivals, service times, and customer abandonment. Analyzed KPIs like wait time, queue length, and agent utilization to identify bottlenecks.

Python SimPy Streamlit
View on GitHub

Netflix Recommendation System

A recommendation system that uses hybrid filtering to recommend movies/tv shows based on movie/tv show ratings, genres, cast, and description.

Python Gradio

Banking Churn Binary Classification

Machine learning model to predict customer churn in banking sector using binary classification techniques.

Python Jupyter Notebook
View on GitHub

Resume

View my specialized resumes based on different career focuses:

Data Science / Machine Learning

Focus on machine learning, AI, and advanced analytics projects.

Data Analytics

Emphasis on data analysis, visualization, and business intelligence.

Supply Chain / Operations

Focused on logistics, operations, and supply chain management.

Get In Touch

I'm always open to new opportunities and collaborations. Feel free to reach out!