Anushka Kulkarni completed Predictive Maintenance: Industrial ML for Fault Detection

Built an end-to-end rolling-bearing fault detector using leakage-free time-domain features, a compact depth-capped decision tree, and a held-out evaluation on unseen bearings. The candidate also wrote a maintenance memo that justified a 0.35 alarm threshold with concrete cost tradeoffs and explained the outer-race fault call in plain language for operations staff.

• Leakage-Free Feature Engineering
• Honest Held-Out Evaluation
• Cost-Based Operational Decision-Making