Step into a realistic simulation of fraud detection interviews where you’ll navigate challenges across data wrangling, SQL querying, EDA, statistics, and machine learning. Using a synthetic transactions dataset, you’ll practice spotting anomalies, building models, and interpreting insights to sharpen both your technical and communication skills. This 60-minute, scenario-driven experience mirrors real-world data science interviews to prepare you for high-stakes fraud detection roles.

What you’ll practice:

• Tackle fraud detection tasks with a structured 60-minute interview format.
• Strengthen SQL querying skills for anomaly detection in transaction data.
• Apply EDA techniques to uncover hidden fraud patterns.
• Enhance statistical reasoning with hypothesis testing on financial datasets.
• Design and implement fraud detection models using machine learning.
• Improve business communication by interpreting results for stakeholders.