I am an AI Solutions Developer and Expert Data Scientist with a strong background in Computer Vision, Natural Language Processing (NLP), Deep Learning, and Machine Learning. I have developed various projects, ranging from skin disease detection using fine-tuned models to advanced NLP tasks like text summarization and sentiment analysis. I am currently working on LLMs to build interactive Chatbots!
I have developed a diverse portfolio of projects that reflect my expertise in data science, machine learning, and web development. Among my notable projects, EpiDetect is a comprehensive MERN stack web application that leverages a fine-tuned ResNet50 model for skin disease detection, showcasing my proficiency in both backend and frontend technologies. The Text-Summarizer project demonstrates my skills in Natural Language Processing (NLP) through the development of a Seq2Seq model with LSTM units, effectively summarizing text using an encoder-decoder architecture. In ResNet-Optima, I have advanced the classic ResNet architecture to address challenges in deep learning, focusing on generalization and computational efficiency. My Text-to-Image-Generator-CGAN project highlights my ability to implement Generative Adversarial Networks (GANs) for synthesizing images from textual descriptions. Additionally, the Urdu-Sentiment-Analysis project employs deep learning models to analyze sentiments in Urdu tweets, further expanding my expertise in NLP. Other projects like Google-Maps-Scraper, Movie-Script-Analysis, and Earthquake-Mag-Predictor demonstrate my capabilities in web scraping, NLP, and predictive modeling, respectively. Each project not only illustrates my technical skills but also my commitment to solving real-world problems through innovative and effective data-driven solutions.
- LinkedIn: Fatima Azfar
- GitHub: Fatima Azfar
- Kaggle: Fatima Azfar
- Email: [email protected]
Feel free to reach out if you have any questions or would like to collaborate on a project!
