Tahir B.

Tahir S. is a data science and machine learning professional with hands-on experience in end-to-end solution development for real-world applications. While interning at 10 Pearls Shine as a Data Science Intern, he designed an MLOps-based AQI forecasting system, delivering real-time air quality predictions for Karachi by integrating Elastic Net regression, automated data pipelines, CI/CD workflows, and a MongoDB-backed feature store, visualized via Streamlit dashboards. As an ML Engineer Intern at DevelopersHub, Tahir S. automated machine learning pipelines using Python, covering predictive analytics, recommendation systems, and Transformer-based NLP models. His academic projects span AQI forecasting, academic document classification using NLP, and depression prediction integrating chatbot technology. He has also achieved certifications in AI-powered chatbots, MongoDB, and Python, underlining his expertise in machine learning and operationalizing AI solutions.