Krishnan Raghavan Email & Phone Number

California, United States

Illinois, United States

- Developed models for condition monitoring of engine systems with telematics large data using Python, Snowflake, Pandas, NumPy, scikit-learn, SciPy, matplotlib, etc. - Deployed algorithms using Azure and AWS to monitor assets across several CAT businesses.Interactive dashboards using Tableau to convey key performance metrics.- Utilized multivariate data analysis and domain knowledge, to create and deploy an algorithm to detect malfunctioning injection, for potential customer savings more than $12M and reduction in downtime of 48000 hours for a major CAT mining product line.- Developed Turbo algorithms and provided monitoring support across $100M worth of marine engines. - Implemented Machine Learning strategy to improve cooling system monitoring algorithm - Developed tools using SQL (Snowflake) and Python for streamlining repair options to help dealers and customers make better repair decisions

Columbus, Indiana

- Tested and analyzed data to help secure a multimillion USD contract with a sensors manufacturer, resulting in recommendation for an organization level award- Contributed significantly to designing a pioneering test setup to control external hydrocarbon dosing using the engine control module, for a vital international market under rigid timelines, resulting in recommendation for an organization level award- Developed multiple tools and test standards to analyze catalyst performance from test cell and field data, that were successfully used by multiple teams within and outside the organization-Successfully tested and characterized Aftertreatment catalyst components for North America, BSVI (India) and NSVI (China) emissions regulation markets Mid Range and Heavy Duty diesel engines

Columbus, Indiana

- Tuned ECM calibration for DPF (Diesel Particulate Filter) for Stage V (Euro emissions regulation) Mid Range engines- Performed testing and analysis to evaluate DPF performance- Calibrated DPF performance and diagnostics electronic control models, after interpreting the models in Simulink- Recommended calibration settings to be incorporated into the software

Data Science Certificate

Preventative Maintenance: Predicting Machinery Unbalance using Vibration Data https://github.com/kgraghav/Springboard/tree/development/Caps.

Master Of Science - Ms, Mechanical Engineering

Bachelor Of Engineering (B.E.), Mechanical Engineering