Owen Stefanko

Predictive Modeling Project: Worked collaboratively with a project team to develop, test, and evaluate deep learning models (LSTM, GRU, Transformer) to forecast monthly product orders for Mansfield Plumbing by integrating macroeconomic data and key market indicators. Designed and built a Streamlit dashboard for data visualization and real-time forecast tracking, supporting efficient collaboration and the on-time delivery of insights for both technical and non-technical business stakeholders.

Stock Market Sentiment Analysis & Price Prediction: Developed a machine learning platform to predict short-term stock price movements by analyzing financial news and social media sentiment from sources like Twitter and Reddit. Integrated real-time sentiment data with historical stock data to train predictive models and presented a final report demonstrating the correlation between news sentiment and stock volatility for enhanced investment strategies.

• Data Science with R and Python
• Data Management and Mining
• Data-driven Decision-making and Business Intelligence
• Proficiency in Microsoft Office
• Developing financial and economic literacy
• Communication and strategic negotiation
• Analysis, marketing and business law
• Collaborative Team-Based Capstone Projects