Question answering system based on Natural language processing and Azure AI, SPARQL query, Machine learning.
Got a 5th prize for Project idea "Smartly digital" where I hypothetically outlined production process :- Data acquisation, communication, presentation and monitoring digitally using IOT sensors and gateway.
Languages :- Python, SQL
Cloud Services :- Azure Cognitive services, building pipelines using Azure data factory, AWS DMS, S3, Glue, Crawlers,CloudWatch events, EC2, creating IAM roles,
Databricks feature engineering and feature store, Understanding of data engineering in Databricks
Understanding of MLOPS, Model deployment in AWS Lambda and Sagemaker
Supervised ML Algorithms
Hands on experience of Azure AutoML
International Journal of Creative Research Thoughts
Features selection and Regression analysis to predict weight of Fish
1. To point out the important predictors.
2. To obtain the appropriate regression model.
Project title :- SWIFT hackathon, August 2021
Challenge "Enhancing the accuracy of
anomaly detection in payments". I lead team
of 3 and supervised completion of Project.
Classification problem. Another use case was
for Anomaly detection in transaction like
Banking, Finance sectors etc. You can even use
it in Inventory/Stockist analysis. Our final score
ranked 11 out of 110 worldwide.