Summary
Overview
Work History
Education
Skills
Linkedin
Projects
Languages
Timeline
Generic

Chetan Khanna

Ghaziabad (U.P.),Uttar Pradesh

Summary

Data Scientist and GenAI Practitioner with 3+ years of experience in Banking, Risk Analytics, Fraud Detection, and Advanced Data Science. Currently working at Barclays in Risk & Controls, leveraging Python, Machine Learning, NLP, and LLM-based solutions to automate governance processes and strengthen internal control frameworks. Strong experience in end-to-end ML lifecycle — from data extraction (SQL), EDA, feature engineering, model building (Random Forest, XGBoost), deployment (Flask APIs), and dashboarding (Tableau). Proven ability to deliver high-impact AI solutions improving fraud detection accuracy, reducing false positives, and enhancing risk monitoring. Data Scientist and GenAI Practitioner with expertise in Banking, Risk Analytics, and Fraud Detection. Delivered high-impact AI solutions that enhance fraud detection accuracy and streamline governance processes through advanced Machine Learning, NLP, and LLM-based solutions. Strengthened internal control frameworks and improved risk monitoring using end-to-end ML lifecycle methodologies.

Overview

9
9
years of professional experience

Work History

Assistant Manager – Risk & Controls Analytics

Barclays
Noida
07.2025 - Current
  • Leveraging advanced analytics and Machine Learning to strengthen operational risk and internal control frameworks.
  • Extract and analyze large-scale banking datasets using SQL and Python (Pandas, NumPy).
  • Conduct advanced EDA to detect anomalies, control gaps, and emerging risk trends.
  • Applied NLP techniques to analyze unstructured data (audit reports, incident logs, policy documents).
  • Built GenAI-assisted workflows using LLMs to enhance risk documentation analysis and control validation.
  • Automated recurring control testing and reconciliation using Python and VBA, reducing manual effort by 30%+.
  • Developed interactive risk dashboards in Tableau for senior leadership reporting.
  • Built automated data pipelines using Alteryx and Tableau Prep.
  • Maintained reproducible analytical workflows for audit and regulatory compliance.
  • Impact: Improved risk detection efficiency and enhanced governance reporting through AI-driven automation.

Data Analyst – Financial Crime & AML Analytics

Barclays
11.2019 - 07.2025
  • Performed sanctions screening and transaction monitoring using SQL-driven analytics.
  • Conducted EDA to identify high-risk transaction patterns and anomaly behaviors.
  • Optimized screening rules using data-backed insights, reducing false positives.
  • Built Python-based automation scripts for recurring fraud and compliance reporting.
  • Created dashboards to track alert volumes, trends, and operational KPIs.
  • Supported compliance checks against global sanctions frameworks (OFAC, UN, EU).
  • Ensured audit readiness through robust validation and documentation practices.
  • Impact: Enhanced fraud detection precision and improved operational efficiency through automation.

Analyst – Healthcare Revenue Analytics

Pacific Global Inc.
12.2016 - 04.2021
  • Analyzed large healthcare revenue cycle datasets to detect revenue leakage.
  • Developed SQL-driven reporting and KPI dashboards (AR aging, denial rates).
  • Automated reporting using Excel Macros and Power Query.
  • Performed root cause analysis for claim denials and payment variances.

Education

LIBA -Executive Post Graduate Program - Business Analytics

01-2023

BSc - Maths

MMH College
Ghaziabad
01-2014

12th - Science

Father Agnel School
Noida
01-2009

10th -

St. Teresa’s Convent School
Ghaziabad
01-2007

Skills

  • Python
  • Scikit-learn
  • SQL
  • VBA
  • LLMs
  • LangChain
  • RAG
  • HuggingFace Transformers
  • OpenAI API Integration
  • FAISS
  • ChromaDB
  • Flask API
  • Streamlit
  • Tableau
  • Alteryx
  • Tableau Prep
  • Machine learning

Linkedin

www.linkedin.com/in/chetan-khanna-b2b1b1b3

Projects

  • Risk & Controls + Topic Modeling / Text Analysis, Built an unsupervised NLP pipeline (LDA & embedding-based models) to analyze large volumes of risk and control narratives across the bank and extract latent themes. Automated thematic clustering of controls, grouping them into operational, compliance, and IT-related categories based on semantic similarity. Mapped control themes to business units using metadata, creating a structured thematic control inventory for risk reporting. Delivered dashboards highlighting control overlaps and gaps, reducing manual review effort by 30% and improving consistency across lines of defense.
  • Hospital Patient flow predictor, Developed a machine learning solution to predict patient appointments for no-shows using healthcare data, improving scheduling efficiency through feature engineering, model optimization and actionable insights. Pre-processed datasets, handled missing values, standardized dates, encoded categorical variables, analysed patterns such as day-of-week, lead time, demographics, and their correlation with no-shows, created new variables like booking gap, appointment day, and seasonality, handled class imbalance with resampling. Implemented ML models like Logistic Regression, Random Forest, and XG Boost; tuned hyperparameters to improve performance and selected the best model based on evaluation metrics like F1-score & ROC-AUC and identified top features influencing no-shows. Recommended targeted reminders for high-risk patients and scheduling optimizations; documented findings with visualizations and a report.
  • Credit Card Fraud Detection, Built classification models improving precision to 90%. Reduced false positives by 20%. Designed end-to-end ML pipeline from EDA → Deployment. Deployed API-based real-time fraud detection system.

Languages

English
Upper Intermediate
B2
Hindi
Upper Intermediate
B2

Timeline

Assistant Manager – Risk & Controls Analytics

Barclays
07.2025 - Current

Data Analyst – Financial Crime & AML Analytics

Barclays
11.2019 - 07.2025

Analyst – Healthcare Revenue Analytics

Pacific Global Inc.
12.2016 - 04.2021

LIBA -Executive Post Graduate Program - Business Analytics

BSc - Maths

MMH College

12th - Science

Father Agnel School

10th -

St. Teresa’s Convent School
Chetan Khanna