I am a dedicated researcher and professional in the fields of machine learning, deep learning, and bioinformatics. Currently pursuing a PhD in Computer Science at the University of Swat, I specialize in CRISPR-Cas9 gene editing, focusing on sgRNA design using deep learning to predict off-target effects. My research interests include integrating AI with genomics, and I have applied various machine learning techniques in health sciences, including ECG-based arrhythmia detection.I have extensive experience in machine learning projects, from NLP sentiment analysis and potato disease classification to working on neutron star clustering and TBN classification. I am also involved in AI chatbot development and bioinformatics research, notably CRISPR-based projects for cancer-related gene studies.As a data analyst , I apply my skills in Python, SQL, Excel, and MATLAB across a wide range of projects, combining theoretical knowledge with practical applications. My enthusiasm for continuous learning is reflected in my ability to adapt to new challenges, such as my current work on Big Mart sales prediction using FFN and XGBoost models.With over eight years of programming experience, I am proficient in tools like TensorFlow and Scikit-learn, contributing to projects in various domains including healthcare, education, and agriculture. I am also a freelancer, working on machine learning and deep learning projects, always eager to refine my technical skills and collaborate with others in my field. My resilience and drive make me a strong contributor to any team or research group.