Nikhil Singh

Asset Cost Optimization: Constructed survival/churn ML model for US based client (Fortune 100), estimated survival rate of asset over next 2 years with 83% accuracy, designed Power BI module, built product pipeline on azure, realized cost saving of ~$0.9 million per year. Insurance Claim Cost & Leave Days Prediction: Devised medical and indemnity cost prediction engine with 84% accuracy, executed azure based automated ML pipeline, realized RoI of $20 million per year. IoT Based Predictive Maintenance: Implemented trigger based fault prediction system for 3k trailer units with 78% accuracy, constructed IoT data extraction pipeline, estimated project RoI of $0.3 million per year. Operating Cost Forecasting: Designed ML based LGBM forecasting model with ~86% accuracy, built Power BI module, built product pipeline on azure.

Alternate Delivery Recommendation Model: Built dynamic Python recommendation model for 944 branches to optimize cost per shipment and reduce it by 30%. Workforce & Network Performance Module: Designed central PowerBI module with 18 KPI dashboards using complex DAX, designed automated refresh dashboard pipeline with AWS S3, AWS Athena. Return Shipment Fraud Detection: Designed ML model using random forest classifier, built SQL queries with 60+ features.

Analyzed and increased efficiency of batch picking for apparels by 11% through six sigma application to meet SLA achievement from 67% to 78%. Implemented FSN article flow in storage section to increase picking productivity by 23% through time motion concept.

Noida

Dehradun