Lahore, Punjab, Pakistan
I am a Data Science student at FAST-NUCES dedicated to developing intelligent systems that bridge the gap between complex data and real-world utility. My expertise lies in building end-to-end Machine Learning and Natural Language Processing (NLP) solutions, with a strong foundation in both technical development and business intelligence. With a background that includes an Artificial Intelligence internship and a diverse portfolio of academic projects, I focus on creating scalable tools that process language, visuals, and structured data with precision. Core Areas of Expertise: Natural Language Processing: Designing and fine-tuning transformer-based models for semantic analysis, classification, and language understanding. Computer Vision: Developing real-time interaction and safety systems, including gesture-based drawing applications and obstacle distance estimation for collision avoidance. Data Analytics & BI: Architecting interactive dashboards and data models using Power BI, SQL, and Excel to uncover actionable business insights. Technical Stack: Advanced Python programming, automated NLP pipelines, and interactive deployment using Streamlit. I am driven by the challenge of transforming raw data into sophisticated, automated ecosystems, whether that involves analyzing sentiment, detecting text patterns, or enhancing spatial awareness through CV.
Completed a 1-month remote internship in UI/UX Design at Elevvo Pathways • Worked on wireframes, prototypes, and user flows • Improved skills in Figma and responsive design • Earned the Outstanding Contributor Badge
Completed a remote internship in Artificial Intelligence • Worked on programming tasks using Python • Strengthened problem-solving and technical skills • Gained experience in delivering assignments on time in a professional environment