santhosh parampottupadam

• Prevention of Domain Generation Algorithm using Random Forest and Deep Learning • Creating Fail fast machine learning models as POC to understand Model Performance and Feature Contributions • Worked with lateral movement detection algorithm using neural network • CI/CD using Jenkins and Docker • Note: Since they shut down the whole Ireland office, everyone had to leave the company.

• Developed deep learning based credit and debit card fraud detection model using historic banking data • Improved machine learning model performance by 7% using Hyper parameter grid search to obtain best model • Statistical correlation analysis and plots to find outliers and feature importance with targeted data • Deployed NLP based Obfuscation Detection Algorithm to prevent fraudsters using sentence embedding

• Provided design recommendations and thought leadership to stakeholders to analyze new data sources. • Improved Hadoop job performance by 11% using HBase and Hive to enhance the caching logic and data partitions. • Worked with Amazon AWS to make client data faster, better, more accessible, and/or more accurate with optimized cost • Worked with terabytes of the live/hourly based dataset in an agile environment and managed 4 members team

Artificial Intelligence, Deep Learning, Trusted Federated Learning, Privacy & Security