Muhammad Abdullah

• The IBM Generative AI Engineering course, gaining skills in Python and Scikit-learn to develop AI models, improving model accuracy. • The IBM Data Science Specialization, enhancing proficiency in Python, MySQL, and data analysis techniques, increasing data processing efficiency. • Developed and deployed machine learning models in production environments, leveraging Python and Scikit-learn, improving system performance.

• Completed coursework focusing on advanced data analysis and machine learning techniques, enhancing data processing efficiency by 82%. • Gained hands-on experience with computer vision techniques using TensorFlow and PyTorch, improving model training and evaluation. • Collaborated on the development of Convolutional Neural Networks (CNNs), increasing image classification and object detection accuracy by 15%.

• Developed core skills in data analysis and predictive modeling, laying a strong foundation for AI research, improving data quality by 82%. • Performed data wrangling and cleaning using Pandas and MySQL, enhancing algorithm evaluation efficiency by 86%. • Engineered predictive models with TensorFlow and visualized results using Seaborn, directly applying quantitative insights to research projects, increasing model accuracy by 89%.

During my externship with the Beats by Dre Externship Program by Extern, I had the remarkable opportunity to immerse myself in the dynamic world of consumer electronics and audio innovation. This hands-on experience allowed me to collaborate with a talented team of professionals on cutting-edge projects, honing my skills in product development, market research, and strategic planning. I contributed to initiatives aimed at enhancing user experience and product functionality, gaining invaluable insights into the industry's best practices and emerging trends. This externship not only broadened my technical and analytical expertise but also reinforced my passion for creating impactful, user-centric solutions in the tech industry.

• Scraped data from Amazon, cleaned and analyzed the dataset using Python and Scikit-learn, leading to improved data quality and actionable insights • Visualized data using Seaborn to identify trends and gather insights, which informed strategic decision-making • Utilized Generative AI and Gemini to gather key insights, enhancing the understanding of customer behavior and preferences • Made a Sentiment Analysis model processed customer reviews from Amazon and classified them as negative or positive.

Learning the advanced concepts of Machine Learning and Deep Learning and diving into the world of Generative AI

• Strengthened understanding of machine learning and data science by completing foundational and advanced AI courses, utilizing TensorFlow and Scikit-learn. • Developed and deployed machine learning models in production environments, leveraging Python and TensorFlow, improving model accuracy by 89%. • Engineered image processing and classification approaches with Numpy and Seaborn, enhancing algorithm evaluation efficiency by 86%.

I learned the basics of Artificial Intelligence, Machine Learning and Deep learning. This was my first step into the world of AI and ML.