Summary
Overview
Work History
Skills
Personal Information
Certification
Timeline
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Alok Bhadauria

Alok Bhadauria

Gurugram

Summary

  • Results-driven Data Scientist with expertise in credit risk modeling, predictive models, and statistical analysis. Seeking a challenging role in credit risk modeling to contribute to risk assessment and portfolio management. Profile Summary
  • Highly skilled Credit Risk professional with 6+ years of experience in analytics and project management.
  • Expertise in building credit scoring acquisition models based on bureau and reject inferencing for leading credit bureaus.
  • Proficient in using XGboost and Logistic Regression to generate probability-based final scores.
  • Extensive experience in evaluating models using metrics like KS and Gini.
  • Skilled in decision trees, K-Means clustering, topological modeling, regression, econometrics, and statistical analysis.
  • Strong background in conducting hyperparameter tuning using GridSearchCV and Bayesian optimization.
  • Proficient in SQL, Python, and machine learning techniques.
  • Expertise in working closely with business and IT stakeholders to define problems and design largescale, enterprise-class solutions.
  • Proficiency in managing over 150 critical databases on Oracle (11g, 12c, and 13c), Oracle OEM 12c, and 13c.
  • A team player with excellent interpersonal and analytical skills, capable of collaborating across organizational boundaries, embracing change, and working in a matrix management arrangement. Core Competency Summary Credit Risk, acquisition models, Anti Money Laundering / Fraud Risk, Decision Trees, K-Means Clustering, XGboost, Topological Modelling, Regression, Analysis, Econometrics, SAS/SQL, R, Python, Machine Learning, Analytics

Overview

8
8
years of professional experience
1
1
Certification

Work History

Consultant II

EXL Analytics
Gurugram
05.2024 - Current
  • Working with Credit Bureau on Credit Risk for different banking clients, helping them to make efficient decisions on loan approval and different portfolios using Reject and Bureau Inferencing
  • Built 30+ credit scoring acquisition models based on bureau and reject inferencing for a US-based leading credit bureau
  • Used XGboost and Logistic Regression for generating the probability-based final scores; Conducted swap set analysis
  • Used KS, Gini as the evaluation metric and conducted hyperparameter tuning using GridSearchCV and Bayesian optimization
  • Conducted the UAT Testing for automating the credit scoring model development process; Provided process improvement insights
  • Conducted attribute selection analysis to improvise the feature selection method for model building.

Data Scientist

Teleperformance Global
- 04.2024
  • Worked on multiple analytical solutions around Customer Analytics Solutions - Customer Identification, Customer Acquisition, Customer Retention, HR Analytics - Attrition and Retention Model
  • Worked on Azure to integrate Data using API and call API through Python
  • Worked on PDF parsing to convert all incident PDF reports to one Excel
  • Also done POC on web scraping to understand employee behavior based on the review section of the website.

Oracle DBA

Tata Consultancy Services Ltd.
Gurugram
05.2016 - 06.2017
  • Managed over 150 critical databases on Oracle (11g, 12c, and 13c), Oracle OEM 12c, and 13c
  • Performed ongoing tuning of database instances
  • Maintained Oracle Standby Database (Switchover Failover)
  • Worked on backup utilities RMAN/ Export-Import/ Data Pump.

Data Analyst

Tata Consultancy Services Ltd.
Gurugram
07.2017
  • Working on statistical tool Python for data statistical analysis
  • Leading the entire data operations including data collection, data cleaning involving mainly missing value treatment, outlier treatment, dummy variable creation, and so on
  • Applying modeling techniques logistic regression, linear regression, and cluster analysis (K-Means) on the shared dataset to fulfill customer requirements and proposing new products services
  • Working on various projects to identify potential churners, revenue driving factors, and categorization of subscribers in the telecom customer network
  • Formulating effective marketing strategies to identify growth opportunities based on the subscriber's segmentation
  • Conducting pre and post analysis of the models before and after the different strategic decisions campaigns.

Skills

  • Credit Risk
  • Acquisition models
  • Anti Money Laundering / Fraud Risk
  • Decision Trees
  • K-Means Clustering
  • XGboost
  • Topological Modelling
  • Regression
  • Analysis
  • Econometrics
  • SAS/SQL
  • R
  • Python
  • Machine Learning
  • Analytics

Personal Information

Title: Credit Risk Modeling and Data Science professional

Certification

  • Completed trainings on multiple Machine Deep Learning Techniques.
  • Certification in Oracle 12c DBA.

Timeline

Consultant II

EXL Analytics
05.2024 - Current

Data Analyst

Tata Consultancy Services Ltd.
07.2017

Oracle DBA

Tata Consultancy Services Ltd.
05.2016 - 06.2017

Data Scientist

Teleperformance Global
- 04.2024

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Alok Bhadauria