jibin sebastian

Developed AI solutions and APIs using Python and SQL, deployed via Azure DevOps in the Microsoft Azure cloud. Built scalable data preprocessing pipelines (Azure Data Factory) Refactored Azure Data Warehouse using SQL.

- Working on Predictive maintenance Modeling - ETL: Automate data extraction from PDF files - Implementation of Text analysis techniques - Analysis Sensor data

- Data analysis and preprocessing [Pandas, Numpy, Seaborn, Matlab] - Model building and evaluation [Scikit-learn, Tensorflow, Keras] - Optimize hyperparameters using Optuna and Autosklearn

Data Management * Support the preparation, evaluate quality control and evaluation of data ( Python and SQL) * Participating in the development of software and business intelligent dashboards * Perform data analysis.

Maintaining the company's web offerings using content management systems - Installation, configuration and administration of computer systems (Windows) and software solutions (MS Office, Dropbox, Strato Webspace) - Advice and support for users in the use of the IT systems used - Analysis, isolation and resolution of emerging problems in the IT context - Conducting employee training on the use of newly introduced IT systems

Incident Management-Change Management-Kubernetes-Containers MicroServices-Splunk-AppDynamics_ Servicenow-Monitoring-SLA Management