I am Muhammad Anas Abbas, a Machine Learning Engineer and Data Scientist with a Bachelor’s in Computer Engineering. With a strong background in developing and optimizing machine learning models, I have hands-on experience in exploratory data analysis, predictive modeling, and real-time data processing. My professional experience includes an internship at Glowing Soft Technologies, where I conducted data analysis, developed customer churn prediction models, and performed sentiment analysis using social media data.
I have worked on several notable projects, including a final year project leveraging IoT for air quality data collection and forecasting using AWS DynamoDB, React, and Django. Additionally, I developed a collaborative music-playing system with real-time features using Python, Django, and the Spotify API. My technical skills encompass programming languages like Python and JavaScript, frameworks such as Django and React, and expertise in database management and web development. With certifications in front-end and back-end development and data analytics on AWS, I am well-equipped to deliver robust and scalable data-driven solutions
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