I'm MUHAMMAD EKRAMAH from Pakistan
, currently engaged in advanced studies in bioinformatics at Quaid-e-Azam University. My academic focus integrates computer science and biology, enabling me to navigate and analyze complex genetic datasets with a view toward medical innovations.
My primary objective is to deepen my expertise in bioinformatics and apply this knowledge to areas such as personalized medicine and genetic research. Through rigorous coursework and independent projects, I continuously refine my skills in mach 8000 ine learning and data analysis, particularly in predicting genetic patterns and behaviors.
Beyond academics, I actively pursue opportunities to collaborate with peers and industry professionals, believing that shared insights and collective problem-solving are key drivers of innovation in our field.
- 🔹 Gain expertise in bioinformatics, Data Science, and AI/ML
- Introduction to Data Science – IBM
- Generative AI Engineering with LLMs – IBM
- GenAI Summarization with Langchain: Summarize Text Documents – Coursera Project Network
Grade Achieved: 100% - GenAI For Business Analysis: Fine-Tuning LLMs – Coursera Project Network
Grade Achieved: 100% - GenAI Basics - How LLMs Work – Duke University
Grade Achieved: 100% - Databases and SQL for Data Science with Python – IBM
Grade Achieved: 96.50% - Foundations of Local Large Language Models – Duke University
Grade Achieved: 85% - Prompt Engineering Generative AI for Marketing & Advertising – Coursera Project Network
Grade Achieved: 100% - Data Science Methodology – IBM
Grade Achieved: 90% - Product Analytics and AI – University of Virginia
Grade Achieved: 97% - Introduction to Machine Learning – Duke University
Grade Achieved: 87% - Project: Generative AI Applications with RAG and LangChain – IBM
Grade Achieved: 96%
