Ravindra Kakade Email & Phone Number

Toronto, Ontario, Canada

Columbus, Indiana, United States

Established and led a product analytics team, deploying Python tools for standardizing A/B test design and deployment. Led the deployment of 15 A/B tests, achieving a substantial $175M profit increase and $600M revenue growth for prototype margin optimization and customer demand measurement.Led a data science and economics team, implementing model enhancements and strategic planning for competitiveness measurement.Developed a 1-year roadmap, established a critical path, and formalized data contracts for long-term competitiveness measurement.Led the development of a Python-based pricing system simulation client, standardizing the pricing release process and implementing impact analysis workflows in Google BigQuery and Looker.

Columbus, Indiana, United States

Parts Recommendation Engine: Led a global team of data scientists, data engineers and SWEs in developing a parts recommendation engine and associated data infrastructure for Cummins Filtration Business generating an incremental revenue of $21M. Engineered a hybrid algorithm for optimal cross-sell and up-sell recommendations using transaction and asset registration data in Microsoft Azure. Led development of Scala/SQL based data pipelines in Azure Databricks and Azure Data Lake to generate source data for the application.Trouble Not Found Predictor:Spearheaded the development of a classification model for proactive identification of over-repair events during service shop intake to minimize replacement of healthy components in vehicles. Designed a scalable POC solution that seamlessly integrated with Cummins' proprietary service tools. Electrification Opportunity Identification Using Telematics Data:Pioneered the enrichment of vehicular telematics data from a fleet of 200k trucks using reverse geocoding and vehicle service data to provide strategy teams with valuable insights around applications and routes for electric vehicle adoption and planning of charging infrastructure.

Marketing and Sales Analytics: Led development of a data-based marketshare growth strategy for the heavy duty truck market.Used time series analysis for opportunity size prediction and machine learning tools to quantify likelihood of opportunity conversion.Currently working on integrating identified opportunities with CRM tools.This project won a Cummins Business Impact award in 2019Data Mining: Developed application Microsoft Power BI, Microsoft SQL Server Data Tools and R for mining data generated during vehicle service events to assist sales and service channels explore factors affecting fuel economy. Won the Cummins 2018 Customer Impact Award.Telematics: Field performance monitoring and anomaly detection using engine telematics data.Predictive Maintenance: Developing the data gathering strategy and a predictive maintenance model based on engine fluid analysis data collected during service events.

Led cross functional OBD Certification Efforts at Cummins-Westport Inc (CWI) Led On-board Diagnostics (OBD) algorithm development activities for near-zero NOx natural gas enginesLed CWI regulatory negotiations with California Air Resources Board

Developed On-board diagnostic algorithm models for Selective Catalytic Reduction systemLed cross-functional development team to design service-bay diagnostics for fault isolation in diesel aftertreatment systems

Lafayette, Indiana Area

Developed multivariate statistics and signal processing methods for fault detection in diesel enginesTechniques used: Wavelet transform techniques, Higher Order Spectral Analysis, Sparse Linear Discriminant Analysis, Machine Learning

Explored utility of integrated engine, aftertreatment and controls models for fault detection in diesel engines

Ms, Mechanical Engineering

Activities and Societies: American Society of Mechanical EngineersControls, Fault Diagnosis, DSP and Statistical Analysis

B. Tech, Mechanical Engineering