John Benedict Labor

A Data Science Student with a passion for creativity and innovation. Dedicated to delivering insights and predictive models that meet business objectives and exceed expectations.

Thesis – Crack Segmentation and Severity Classification

• Retrofitted EfficientViT for multi-task learning to perform simultaneous crack segmentation and severity classification.
• Completed and implemented the research within a short timeframe, achieving performance that exceeded a closely related published study.

Internship – Real-Time Monitoring & Predictive Maintenance

• Developed a real-time dashboard to optimize forklift routing and monitor transactions, enhancing overall operational visibility.
• Developed predictive battery end-of-life models and contributed to MQTT-based data ingestion pipelines.

Final Project – Crop Yield Prediction

Intro to AI Class

• Trained a machine learning model to predict crop yields based on variables like soil type, rainfall, and the presence of fertilizers.
• Utilized Python and scikit-learn to preprocess data, and build predictive models.
• Applied classification and regression algorithms to forecast crop performance.
• Evaluated model performance using metrics like, mean absolute error (MAE), and accuracy to ensure precision in predictions.

Final Project – Auto Loan Acceptance Prediction

Machine Learning Class

• Trained a machine learning model to predict auto loan acceptance or rejection based on customer data.
• Performed data preprocessing, feature engineering, and model training using Python and libraries such as scikit-learn and pandas.
• Evaluated model performance using metrics like accuracy, precision, and recall, and fine-tuned the model to optimize results.
• Applied classification algorithms to assess loan eligibility and improve decision-making processes.

Business Intelligence Project

• Collaborated with a local business to identify key operational needs and designed a customized business dashboard.
• Utilized Tableau and Power BI to create interactive visualizations and reports supporting decision-making processes.
• Conducted data gathering, cleaning, and analysis.
• Presented insights and recommendations to stakeholders, demonstrating the value of data-driven strategies.

Bachelor of Science in Data Science – Ateneo de Davao University (2022-26)