PROFILE SUMMARY

Sultan Haider is a data science practitioner with a multidisciplinary background spanning machine learning, deep learning, statistical modelling, and natural language processing. Trained as a computer scientist during his undergraduate studies, he later advanced his expertise in applied machine learning and NLP through his MS Data Science program at FAST National University. Over the years, he has developed strong command over Python, R, SQL, and modern analytical frameworks such as TensorFlow, PyTorch, Scikit-learn, along with visualization tools including Power BI, Tableau, and Plotly.

His project portfolio reflects a diverse skill set ranging from large-scale web scraping systems and sentiment analysis pipelines to neural network–based prediction models and interactive data-driven applications. He also completed a 3-month internship at IT-Solera, where he gained hands-on experience working with real-world datasets, analytical workflows, and collaborative problem-solving in a professional environment.

These experiences are complemented by professional certifications from IBM and Google, covering areas such as predictive analytics, SQL-based analysis, and end-to-end model development. With a strong foundation in computational thinking and an aptitude for applied research, Sultan’s interests span the broader spectrum of data science from data exploration and preprocessing to model development, evaluation, and visualization. He is committed to building intelligent, reliable systems that transform data into meaningful insights, while continuing to grow through academic engagement, experimentation, and interdisciplinary learning.

RESEARCH AREAS / INTERESTS

1. Natural Language Processing
2. Medical Image Processing
3. Blockchain