I work in team who provides Software as a Service Solutions for LImetime Monitoring of battery for EV vehicle to OEMs and fleet owners.Developing and providing AI/ML solutions( Such as Auto-encoder , Variational Autoencoder, timeseries forecasting models)using timeseries data for SaaS solution for OEM’s and fleet owner of EV vehicle to ensure vehicle safety and enhance the lifetime of battery.Developing AI/ML model using Azure Databricks notebook, Azure clusters , Delta lake table , MLFlow , Hyperopt , Tensorflow , Keras etc.Ideated & Implemented model monitoring in Azure for detecting drifts for AI/ML model.To involve in creating Model Monitoring pipeline in Azure.Conceptualized & Implemented retraining pipeline of AI/ML model.Creation of features using domain knowledge for forecasting and anomaly detection models using timeseries data.Creating dashboard for customers & internal analysis in Azure databricks notebook(Using PySpark & Python) ,PowerBI or Tableau. Creating pipeline for Anomaly detection & forecasting models in Azure . Work with Azure Repo, bitbucket, Git etc.

•Involve in creating Machine Learning data models using Python Libraries(OpenCV,Numpy,Pandas,scikit  learn,keras, tensorflow etc) for enhancing the features of the Semi Autonomous Cars as per client requirement.•Involve in building a Matlab model using code given by client •Follow the given process for guideline check of the created model using tool.•Involve in  doing Unit level validation and B2B testing and generate a report.•Involve  automation work in VBA.•Involve in creating SWE3 and SWE4 for Unit testing.