Research Scientist | Teaching | Deep Learning | Machine Learning |Speaker

 

 

 Deployed H20, Scikit-learn, and PyTorch based salary prediction models for recruiting managers 

 Improved the model performance via Distribution Analysis like Histogram, Boxplot, Correlation Plot by removing outliers 

 Increased the final machine learning model performance by 5 % using ensemble models of Deep Leaning, XGBoost, GBM 

 Increased the machine learning model performance by creating new 300 Dimension Smooth Inverse Frequency Vectors 

 Working closely with Product owners and stake holders to build new machine learning use cases for customers 

 Developing NLP and Facebook Fast Text based work force recruitment Recommendation model 

 Statistical Analysis to find out the relationship and to build better feature engineering for ML models 

 Cleaning Vast amount of structured and unstructured data for machine learning models using NLP and Bigdata tools 

 Creating Machine Leaning Pipe line for Production with Flake8 and Pylint convention 

* 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
* Created POC to reach out clients by a web-based machine learning model for credit risk analysis
* Developed fail fast machine learning algorithms and stacked ensemble models using Automatic Machine Learning
* Automating Hadoop Spark jobs to collect, extract, transform and load to ML models from EDH to Local