Technology

Predictive analytics
Experience in applying the latest data science techniques

• Customer segmentation using clustering techniques 
• Campaign response and churn model using ML-based ensemble methods
• Predictive maintenance using sensor data
• Marketing ROI effectiveness (A/B testing, attribution model, market mix models) 
• Time series-based forecasting

BI visualization
Adept at converting big data into insightful visualizations     

• Design thinking and product development approach
• Certified developers across BI tools (Power BI, Tableau, Domo, Microstrategy, D3, QlikView) 
• AI-driven NLG models for auto insights generation
• Self-service analytics visualizations for web applications

ML-driven data engineering

Deep expertise in applying ML to data engineering pipelines

• Data stitching – SQL and NoSQL database
• Data pipeline automation (PySpark, DataBricks, and Snowflake)
• Managing unstructured data using an NLP-based algorithm
• Search engine creation (BERT and knowledge graph-based taxonomies)