TASC Data Science and Digital Solutions case studies
TASC Data Science and Digital Solutions · Put your knowledge to work in context.
TASC Data Science and Digital Solutions is listed in this site's profile as a Tasmanian senior secondary course area administered by the Tasmanian Assessment, Standards and Certification (TASC) body, the statutory authority that sets curriculum, assessment and certification requirements for senior secondary study in Tasmania. It is intended for students building skills in data handling, analysis and digital problem-solving, and for teachers and providers who deliver or assess that learning. The TASC Data Science and Digital Solutions case studies are 5 cases and about 2,954 words.
1Churn Model Drift After a Pricing Change
A subscription retailer launched a new pricing tier in March. Its churn classifier, trained on 18 months of pre-March data, had an AUC of 0.81 in February.
616 words, about 3 min2Imbalanced Fraud Labels and a Precision Target
A payments team built a fraud detector on 2 million transactions, of which 0.4% are fraudulent. The model achieves 92% recall at a threshold that flags 3% of all transactions.
589 words, about 3 min3Feature Store Leakage in a Demand Forecast
A retail data science team is building a weekly demand forecast for 4,000 stores. During development, validation error looked excellent: MAPE of 9% on a random train-test split.
569 words, about 3 min4Fairness Audit Before a Hiring Screening Rollout
A company plans to deploy a resume-screening model that ranks applicants for interview. On a historical dataset, the model selects 30% of male applicants and 18% of female applicants for the top rank band.
589 words, about 3 min5Dashboard Adoption Failure in a Clinical Operations Rollout
A hospital analytics team launched a bed-capacity dashboard for charge nurses across 12 wards. Six weeks after launch, only 23% of nurses had logged in during the past week, and median session length was 40 seconds.
591 words, about 3 min