At MatrixFit Trainings, I organized and led a relay race for 45 participants and developed promotional deals for the Karachi marathon training program, converting 7 clients.
I created an automated sheet to track PT sessions and email management when members completed their sessions, reducing late payments by 80%. I also created and supervised a daily task sheet that cut task-completion delays by 50%.
For my final-year project, I developed a Python machine-learning pipeline to predict BRCA1/BRCA2 mutation pathogenicity, achieving 89.2% peak accuracy and a 0.931 ROC-AUC. I used SHAP to interpret the model and worked on business intelligence, healthcare analytics, and accessibility redesign projects.
