Hafiz Hassan
Mustafa

About Me

I am a passionate candidate with a strong coding skills in Generative AI development, machine learning, and deep learning.

During my tenure as a Data Science Trainee, I engaged in web scraping for insights and predicting customer buying behavior at British Airways. After that, I developed a Python-based chatbot, a sales predictor, and a recommendation system, showcasing my proficiency in natural language processing and machine learning algorithms.

In my current role at Indenta AI, I have contributed significantly to various projects, including Python automation for task efficiency, exploration of large language models for natural language processing tasks, and the development of AI-driven solutions such as an eBook and chatbot for AI law consulting. My expertise extends to optical character recognition systems, audio-based anomaly detection, and backend development for web applications.

I hold a Bachelor's degree in Mechanical Engineering from DHA Suffa University, where I achieved notable recognitions such as being a runner-up in the Data Science Competition and securing the second position in the Stable LM 3B 24-Hour International Hackathon. I have pursued further education and training in data science, deep learning, and artificial intelligence from institutions like Simplilearn and PIAIC.

Proficient in coding such as Python, I possess a comprehensive skill set in machine learning, deep learning, and artificial intelligence frameworks such as PyTorch and TensorFlow. My digital skills span across data visualization tools like Tableau, automation scripts, and various libraries and frameworks essential for AI development.

With a strong foundation in both theoretical knowledge and practical application, I am poised to make significant contributions as a data scientist or AI engineer, leveraging my expertise to tackle real-world problems and drive innovation in the field of artificial intelligence.