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.