About Me

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Hi, I'm Tayyeba

I've graduated with a BSc in Computer science and planning to go forward with a masters in cyber! I love building solutions that bridge the gap between complex data and human understanding through machine learning, data analysis, and intuitive applications.

Also, I love creating solutions that make a difference to people and the world around us. With AI becoming more prevalent I think it's important to think of how to sustainably and ethically integrate it into our lives as well as being more conscious with our usage of tech!

This space showcases my journey in tech—from machine learning research and data analysis to full-stack development projects. I'm particularly excited about creating technology that has real-world impact, especially in healthcare and data-driven decision making.

What I Do

My work spans across machine learning, data science, and development. I'm experienced in building predictive models, analyzing complex datasets, and developing applications that solve real problems. From healthcare AI systems to interactive web applications.

I'm particularly interested in Machine Learning as well as creating accessible technology. My academic background in Computer Science combined with hands-on project experience gives me a comprehensive approach to problem-solving. While my drive to be conscious gives me an edge in thinking about the ethical implications of technology as well as sharing knowledge with others.

Skills & Interests

Technical Stack

Languages: Python, JavaScript, SQL
ML & Data: Scikit-learn, Pandas, NumPy, XAI
Web: React, HTML, CSS, Flask, JavaScript
Databases: SQL, Data Mining

Research Interests

♡ Machine Learning & Prediction Modeling
♡ Explainable AI (XAI)
♡ Data Mining & Pattern Recognition
♡ Environmental Sustainability in Tech

Always Growing

♡ Advanced machine learning architectures
♡ Deep learning & neural networks
♡ Cloud technologies
♡ Advanced data visualization

A Bit More

Favorite Things: Coffee/Tea, Problem-solving, Open-source, Minecraft building, Learning new frameworks

Current Focus: Deepening my expertise in machine learning and data science while contributing to meaningful projects in healthcare and AI.

Fun Fact: I love the intersection of creativity and logic— whether it's designing algorithms or building intricate Minecraft structures, I'm always exploring how systems work, because the "how it works" comes before "how to make it better!".

Let's Connect

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