Gouse Mohammad Email & Phone Number

Hyderabad, IN

Hyderabad, Telangana, India

• Led end-to-end NLP projects, including data collection, model training, evaluation, and deployment, driving significant operational efficiency improvements.
• Improved classification accuracy through Text Classification and Sentiment Analysis, delivering key business insights.
• Increased process automation efficiency by 81% via advanced sentiment analysis and topic classification using Hugging Face models.
• Fine-tuned BERT and MPNet models in AWS Sagemaker, achieving substantial improvements in classification accuracy.
• Optimized prediction speed by developing a similarity-based model using FAISS for fast indexing of embeddings.
• Enhanced model performance by integrating rule-based, machine learning, and similarity-based models, leading to notable accuracy gains.

Pune, Maharashtra, India

• Developed a prototype of customized deep learning models using CNN architecture for predicting COVID-19 from Chest X-rays.
• Employed data augmentation and transfer learning techniques to enhance model performance, overcoming challenges due to the lack of open-source datasets.
• Leveraged transfer learning to build a robust COVID classifier, utilizing the strengths of VGG-Net and ResNet models to improve prediction accuracy.

Chennai, Tamil Nadu, India

• Conducted extensive research on methods for detecting brain tumors from MRI images, laying the groundwork for model development.
• Compiled and prepared datasets by gathering relevant data and applying image processing techniques using OpenCV and other Python libraries.- Implemented a variety of machine learning techniques, including CNNs, Random.
• Enhanced CNN model performance through meticulous fine-tuning, evaluated models on multiple metrics, visualized results, and thoroughly documented findings, contributing to advancements in medical imaging.