Juan Carlo (JC) Alicaway

Python · Pandas · Scaler · Encoders · Classifiers

Built and evaluated a machine-learning classification pipeline to predict electric vehicle purchases, achieving a 0.941 score. Applied data preprocessing, exploratory data analysis, feature engineering, and model evaluation to identify purchasing patterns and generate predictions from a large-scale training dataset.

Python · Web Scraping · Generative AI/LLMs · API Integration · Discord Webhooks

An automated news intelligence pipeline that aggregates content from 50+ news sources and uses LLMs to identify and summarize the 10 most important global stories. The system transforms large volumes of unstructured news into concise, actionable summaries and delivers them directly to Discord via webhooks, using OpenRouter for model inference.

Python · BeautifulSoup4 · Scheduled Workflows · Change Detection · Alerting

An automated monitoring tool that tracks OpenRouter’s free AI models and detects when models are added, removed, or stop being available for free. The system can send Discord webhook alerts when a model you’re using is no longer free, helping prevent unexpected disruptions and keeping AI workflows cost-conscious.

Built to run on a scheduled basis, the project combines automation, API monitoring, and real-time notifications to make managing free AI models more reliable.

Machine Learning · Deep Learning · Reinforcement Learning · Regression · Classification

A hands-on machine learning portfolio covering core paradigms including supervised learning, unsupervised learning, deep learning, and reinforcement learning. The repository implements and explores techniques across classification, regression, clustering, neural networks, and reinforcement learning, providing practical implementations of fundamental ML concepts.

PyTorch · TensorFlow · scikit-learn · Machine Learning · Deep Learning

Python · SQL · R · Pandas · NumPy · Statistics · Probability · Data Visualization

LLM APIs · OpenRouter · Hugging Face · Prompt Engineering · AI Automation

Git · GitHub · Jupyter · VS Code · Docker

Ministry of Public and Business Service Delivery and Procurement (MPBSDP)

• Lead comprehensive business analysis activities to assess client needs, define technical requirements, and support solution development across all project phases
• Develop business cases, feasibility studies, and cost-benefit analyses to support strategic IT initiatives
• Provide expert advice on business analysis methodologies, tools, and best practices, while mentoring colleagues and contributing to organizational capability building
• Build and maintain strong stakeholder relationships to ensure alignment between business needs and I&IT solutions throughout the project lifecycle
• Support cross-functional projects, including procurement processes, vendor evaluations, and the development of service level agreements
• Monitor project progress, resolve issues, and provide leadership in planning, testing, and implementing business systems and infrastructure solutions

Ministry of Public and Business Service Delivery and Procurement (MPBSDP)

• Provided technical systems support and customer service in response to a range of systems questions, problems and inquiries from internal and external users of Transfer Payment Ontario
• Acted as the Transfer Payment Ontario IT lead contact on all systems problem resolutions
• Maintained ongoing liaison with team members to resolve issues
• Determined appropriate action to resolve issues with the Transfer Payment Ontario software and computer equipment
• Developed data management guidelines to ensure information security, accessibility, database integrity and compliance to standards
• Made system administration changes such as entering financial allocations or changing the structure of a program

Faculty of Business and Information Technology (FBIT)

• Designed and delivered undergraduate lectures, tutorials, and labs in assigned courses
• Courses include: Mathematical Analysis for Business (BUSI 1916U), Intro to Calculus (INFR 1016U), Advanced Business Intelligence (BUSI 4504U), Fundamentals of Business Math (BUSI 1915U), IT Forensics (INFR 4690U)
• Guided students in experimental design, data analysis, interpretation of results, and technical report writing
• Assisted in the development of course textbook for Fundamentals of Business Math
• Prepared, administered, and graded assignments, projects, quizzes, tests, midterms, and final examinations
• Planned and delivered hands-on laboratory sessions aligned with course objectives and learning outcomes

Expected Aug. 2027

with Highest Distinction

Data Science • Data Mining • Data Analysis • Data Visualization • R • Probability • Statistics

R Basics • Visualization • Probability • Inference and Modeling • Productivity Tools • Wrangling • Linear Regression • Machine Learning

roadmap.sh — ML Engineer

roadmap.sh — AI Engineer

GitHub Projects