Kushal Bhangi

About Kushal Bhangi

Experienced System Engineer with a strong background in the information technology and services industry. Skilled in Data Science, Machine Learning, and Python development, with hands-on expertise in Artificial Intelligence, Generative AI (GenAI), and Agentic AI. Experienced in applying Computer Vision and Information Retrieval techniques and leveraging modern analytics tools such as Tableau and Power BI. Passionate about using advanced analytics and AI innovations to solve complex business problems and create real-world impact.

Experience

1. Manager - Data Scientist

   EY

   Apr 2019 — Present · Bengaluru, IN

   I have 11 years of experience in Data Science (Machine Learning, Deep Learning, NLP/ Text Mining), Python Developer, Data/Business Analytics, Data Visualization, Data Operations, and BI.•7 + years of experience in NLP, Text processing, Information Retrieval, image processing. pattern recognition•Data Analysis for different bank products like Home Equity, Credit Card, ATM Fees, Over limit fees, Late Fees.•Reimbursable ATM Fees for different types of Bank account (Business and Consumer).•Visualization of Business for Basel 3 and Basel 4 regularization.•Developing the population using Pyspark.•Strong working experience of data mining techniques, including regression analysis, clustering, decision trees, neural networks, SVM (support vector machines) and familiarity with recommendation systems such as collaborative filtering, k-nearest neighbors, association rules, market basket analysis, SVD (singular value decomposition), matrix factorization method•5+ years Analytic Solution & Consulting experience in verticals such as BFSI, CPG.•Experience in delivering text analytics on large structured and unstructured data corpuses •Experience in developing, designing or using deep learning frameworks (e.g. Torch, Theano, TensorFlow, etc.)•Create a Chabot application in EY using NLP.•Experience in developing and deploying machine learning solutions(including deep learning)•Created Prediction Model for 5 States which will predict Optimized Price to be defined at the start of the month.•Created Employee Behavior Model for predicting suspicious activity to be audited for respective Employee for their Travel and Expense spend. Successfully deployed Model in Audit Process.•Created Fraud Detection Model for identifying Fraud Probability associated with Cards to take appropriate action like Recording before happening of actual fraud.•Association Analysis/Market Basket Analysis for identifying the association between products, to use this information for Cross-Selling.

Education

• KLE College of Engineering and Technology, Belgaum

  Bachelor of Engineering (BE), Computer Science

  2005 — 2009

Skills

• Performance Tuning
• Patch Management
• Pl/Sql
• Troubleshooting
• Oracle
• Data Guard
• Data Migration
• Database Administration
• San
• Oracle Rac
• Linux
• Windows
• Cluster
• Solaris
• Oracle Asm
• Networking
• Unix Shell Scripting
• Databases
• Rman
• Oracle Applications