Mo User

I am a recent Computer Science graduate with a strong foundation in Python, data analysis, and mathematical modeling. My academic journey has equipped me with the skills necessary to tackle real-world problems and develop data-driven solutions. I thrive on challenges and am always eager to learn new technologies and methodologies to enhance my expertise.

During my time at university, I participated in various projects, including a hackathon where I developed a Passenger Satisfaction Classifier that achieved 95.1% accuracy. I also built a Convolutional Neural Network (CNN) for handwritten letter classification, reaching an impressive 97% accuracy. My experience at Outlier AI has further honed my analytical skills, where I evaluated AI-generated solutions and provided feedback to improve their performance.