Dhaval Jaysukhbhai Antala

Implemented a machine learning-based document classification system, reducing manualw ork by 95%. Employed NLP techniques for text preprocessing, including tokenization and stemming. Utilized OCR (Optical Character Recognition) for text extraction from scanned documents. Applied various machine learning algorithms Random Forest for classification, achieving high accuracy.

Led a critical project predicting semiconductor wafer status with 93% accuracy. Improved data quality through KNN imputation, removal of columns, and KMeans clustering. Collaborated across teams to integrate the model seamlessly. Optimized classification models, enhancing accuracy. Proficient in Python, MongoDB, CI/CD, Supervised, Unsupervised, and transfer learning, contributing to advanced ML capabilities.

Completed Comprehensive coursework in AI, ML, DL, Big Data, Computer Vision, and Robotics algorithms. Developed proficiency in data processing, with a focus on big data management image processing techniques, and cloud computing applications.