About

• Strongly self-motivated, Data Science Professional with 15 years of experience in IT industry and always keen to learn new methodologies and techniques. • Including 7+ year’s as Decision Science Consultant, Business Data Analyst in Risk Modelling and Analytics team. • Statistical Machine Learning, Hypothesis Testing and Predictive Modelling to drive insights and recommendations. • Good knowledge in Linear, Multiple & Logistic Regression, Decision Trees, Random Forest, Support Vector Machine, Principal Component analysis, Dimensionality reduction, K- Means, KNN, Bayesian, Artificial Neural Networks, Deep Learning techniques using RNN, CNN. • Experience in MIS Reporting, business Dashboard , Data Visualization using BI tools like Tableau, Excel • Strong academic background in computer applications, mathematical and statistical sciences. • Worked as DevOps Champion on tool recommendations and dashboard automation. • Implemented Agile development environment and setup Scrum sessions in Jira, Confluence for team. • Worked on proof of concept for various models like customer churn, risk based models using AI deep learning algorithms using Keras, Tensorflow, Theano. • Part of digital transformation and iLab innovation team to compare the feasibility between Google Cloud Platform (GCP) and Amazon Web Services (AWS) for HSBC storage migration. Worked on models prototype development to showcase GCP capabilities and benefits of new IaaS process. • 5+ year’s of Consultant and Developer experience in cards applications and worked on various banking and risk applications like credit cards(VisionPLUS), Decision system(Triad), Fraud management (Falcon , SASFM).