Grace Olafioye

Architected a Python automation pipeline to clean Excel order logs, remove duplicate order IDs, and calculate daily commissions, cutting reporting time from 3 hours to 10 seconds. Built Looker Studio dashboards and a churn-tracking system to monitor daily drop-off rates and optimize the payment funnel.

Developed an LSTM-based predictive model for hazardous gas detection, achieving 98.12% accuracy on industrial sensor datasets. Built a Python/TensorFlow/Keras training and validation pipeline and integrated predictions into a prototype monitoring system.

Co-founded Diverse Labs and led operations and project execution for tech products, delivering a functional interactive 3D MVP within one month. Conducted user testing to iterate on features and managed documentation, workflows, and cross-functional delivery to support early-stage growth.

Drove campus adoption through information campaigns and peer sessions, engaging 200+ students. Onboarded 50+ new users, contributing to a 20% growth in campus market share.

Organized seminars and workshops reaching 500+ students, driving a 40% increase in campus adoption. Onboarded 100+ new users and grew the student user base by 25%.

Implemented booking, purchase, payment, and class history features to improve transaction transparency and member activity tracking. Debugged and resolved Paystack card authorization failures and partnered with backend engineers to add refresh-token authentication, reducing frequent user logouts.

Managed key app features including booking logic, admin card charging, OTP verification, and card management across two gym branches. Introduced a back-dated booking workflow and investigated production issues using SQL and log analysis to resolve payment and signup errors.

Led a team of 3 to build a predictive model for wine quality testing, improving prediction accuracy by 15%. Reduced computational time by 20% by selecting efficient supervised learning approaches and increased usability and engagement by 30% through a user-friendly interface.

Planned and executed events, workshops, and seminars reaching 500+ students and increasing membership by 25%. Managed departmental week logistics, including a 150-participant hackathon, a 200-attendee seminar, an industrial visit for 50 students, and a team of 10 volunteers.

Grade: CGPA: 4.82

Pursuing a B.Sc. in Computer Science at McPherson University (CGPA: 4.82), expected to complete in July 2026.