- Built AWS Sagemaker pipelines for training the ML model by developing custom tailored scripts, resulting in a remarkable cost reduction of approximately 70%.- Developed end to end Machine Learning NLP classification model.Utilized Sagemaker, AWS EFS storage for asynchronous functionality, boosting application performance by 30% and reducing API calls.- Developed async REST APIs using FastAPI for multi tenancy of the automation platform.- Worked on python visualisation using Dash… Show more - Built AWS Sagemaker pipelines for training the ML model by developing custom tailored scripts, resulting in a remarkable cost reduction of approximately 70%.- Developed end to end Machine Learning NLP classification model.Utilized Sagemaker, AWS EFS storage for asynchronous functionality, boosting application performance by 30% and reducing API calls.- Developed async REST APIs using FastAPI for multi tenancy of the automation platform.- Worked on python visualisation using Dash, Plotly. - Implemented data dashboards using PowerBI, used data modelling to make it dynamic visualisations. Show less

- Build ETL data pipelines using Elasticsearch, Logstash & Kibana to ingest infra metric logs, csv reports from different servers.- Build EDA visualisation reports with the Group-IT data using Pandas, Matploblib, Numpy, Seaborn libraries.- Optimised and re-write SQL queries to extract data from PostgreSQL database, implemented and parsed data using psycopg2 and delievered with django web framework.- Developed end-to-end Machine Learning models using Python, used SQL and created… Show more - Build ETL data pipelines using Elasticsearch, Logstash & Kibana to ingest infra metric logs, csv reports from different servers.- Build EDA visualisation reports with the Group-IT data using Pandas, Matploblib, Numpy, Seaborn libraries.- Optimised and re-write SQL queries to extract data from PostgreSQL database, implemented and parsed data using psycopg2 and delievered with django web framework.- Developed end-to-end Machine Learning models using Python, used SQL and created visualization dashboards as part of Coursera Projects.- Hands-on experience in ML models like Logistic Regression, Classification, Random Forest etc. Also, used fbprophet model for time series forecasting.- Worked on Splunk ITSI ( IT Service Intelligence ) for real-time event correlation, predictive analytics to reduce event incident tickets and to simplify operations related to de-duplication tickets with Event Analytics. Show less

- Implemented Cloud Computing ML tools like AWS Textract, Azure Form Recognizer, IBM Datacap for its OCR features.- Developed REST APIs for the UI-dashboard of Capgemini Intelligent Automation Platform(CIAP) using Django.- Build dashboards in Prometheus, Grafana, Kibana, Splunk, Tableau.