Real-Time Experience
Real-Time Experience
Worked on real-world ATM Fraud dataset and designed an end-to-end framework for ATM Fraud detection. Demonstrated the methodology on various Indian bank datasets.
Worked on real-world Network datasets (DDOS and IDS) collected from a reputed bank.
Handled hands-on sessions to various offline programmes held during my research tenure, such as End-to-End Implementation of AI/ML Models in Banks, Advanced AI/ML in Banking, Financial Forecasting using AI/ML in Banks, Fraud Analytics with AI/ML, etc. organized at IDRBT.
Handled demo sessions on KNIME with XAI on the e-program Special Awareness Programme on Data Science for Banks held at IDRBT.
Handled various theoretical sessions on e-programmes and offline programmes such as Big Data Analytics for Banks, Fraud Analytics with AI/ML held at IDRBT.
Handled hands-on sessions to various offline programmes held during my research tenure such as End-to-End Implementation of AI/ML Models in Banks, Advanced AI/ML in Banking, Financial Forecasting using AI/ML in Banks, Fraud Analytics with AI/ML etc. organized at IDRBT.
Handled demo sessions on KNIME with XAI on the e-programme Special Awareness Programme on Data Science for Banks held at IDRBT.
Handled hands-on sessions for Machine Learning & Financial Analytics courses to PGDBT at IDRBT.
Mentored 3 M.Tech students from the University of Hyderabad, 1 PGDBT student, and 1 Intern from PES college, India, and 2 research associates in collaboration with IDRBT.
Actively worked with the students and research asssociates to meet the specific research goals, and held regular one-on-one meetings to ensure progress.
Thesis title : Federated Learning and Privacy preserving ML in Banking & Finance, P. Durga Prasad
Research Outcome: 3 papers [ 2 Conferences Accepted; 1 Journal revision submitted]
Thesis title: Adversarial Machine Learning and applications, D. Pavan Sainadh Venkata Reddy,
Research Outcome: 1 paper [ Under review in COMPLECENG]
Internship Project: Reinforcement Learning for Stock Market Price Forecasting: A Novel Approach,
A. Atchutha Ram
Research Outcome: 1 paper [ Accepted in JIKM, World Scientific]
Project title: Chaotic variational auto encoder based one class classifier for insurance fraud detection,
K.S.N.V.K. Gangadhar, B.A. Kumar
Research Outcome: 1 paper [ Under review]
Thesis title: Benchmarking One Class Classification in fraud detection and other problems in Banking Financial Services and Insurance, Ch. Priyanka
Research Outcome: 1 paper [ Accepted in FICTA 2024 conference, Secured Best paper Award]
Thesis title Parallel and streaming wavelet neural networks for classification and regression under apache spark, E. Harindra Venkatesh
Research Outcome: 1 paper [ Accepted in Cluster Computing, Springer]