Arif Othman

Implemented ML algorithms from unsupervised, supervised, and deep learning using NumPy, improving understanding and enabling others to benefit. Engineered essential components from the ground up using OOP, improving maintainability by 20% and increasing fusion between modules by a further 50%.

Conducted a comprehensive EDA on 121 videos, revealing actionable insights that helped in design choices for both the model and the dataset. Developed and executed a hyperparameter tuning framework utilising 3-fold cross-validation, enhancing model accuracy by 30% and reducing overfitting rates to under 10%.

Conducted analysis of over 9000 transactions from 2014 to 2017 leveraging SQL, resulting in the identification of key purchasing trends. Developed a Tableau dashboard to present data-driven insights, which would streamline stakeholder decision-making efficiency by 10%.

Collaborated with senior engineers in testing and debugging Java software components using Android Studio, reducing critical bugs by 5%. Engineered a ML model that accurately predicted brain stroke occurrences with an 89% accuracy rate, showcasing its potential impact during a presentation to a board of directors.

Managed training sessions for two unexperienced tutors, leading to an average 25% increase in student exam performance. Developed personalised tutoring sessions for over 15 students from Year 7 to Year 13 in subjects including Mathematics, Physics, Chemistry, and Computer Science, achieving a 100% client satisfaction review from parents.

Studied Computer Science at the University of Exeter. Gained foundational knowledge and practical skills in various aspects of computing.