Case Studies

Developed assortment lifecycle intelligence to optimize overall investment in products to focus on key categories and high potential products

Improved in risk assessment time and enabled near real-time flagging of data anomaly

Cloud monitoring and optimization to reduce cost and building custom dashboards to get granular details of billing patters

Building data pipelines to make quality datasets ready for ML use cases

NLP-based social media analytics helped identify pain-passion points of customers and accelerate product innovation.

Improved model performance, reduce model run time, increased scalability and reduced cost of model deployment using MLOps

Built Neural Network Architecture to create prediction models for a leading semiconductor company

Built and automated an AI system to improve the overall equipment effectiveness (OEE)

Predictive machine learning models to determine customers likely to churn

Data Lake creation

Demand Forecasting

Trade Surveillance

Productionize Demand Forecasting Models

Marketing Attribution

Identity Graphs