AI and Machine Learning Intern | IFGICT
OtherTextClassification
I built and evaluated machine learning models using Python to detect anomalies in structured datasets and improve model performance. I also designed structured test scenarios for validating dataset integrity and ensuring high-quality data for training and evaluation. Through iterative refinement, I contributed to the accuracy and robustness of AI models within the organization.
• Anomaly detection in structured datasets
• Test scenario design for dataset validation
• Iterative data review and label verification
• Python-based ML model training and evaluation
I built and evaluated machine learning models using Python to detect anomalies in structured datasets and improve model performance. I also designed structured test scenarios for validating dataset integrity and ensuring high-quality data for training and evaluation. Through iterative refinement, I contributed to the accuracy and robustness of AI models within the organization. • Anomaly detection in structured datasets • Test scenario design for dataset validation • Iterative data review and label verification • Python-based ML model training and evaluation
2025 - 2025