Anurag Kola

AI Researcher

Bengaluru, Karnataka, India8 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in deploying AI systems for FinTech.
  • Proven track record in credit risk modeling.
  • Passionate about bridging theory and industry in Data Science.
Stackforce AI infers this person is a FinTech expert specializing in AI and Data Science.

Contact

Skills

Core Skills

FintechCredit RiskData ScienceStatistical Data Analysis

Other Skills

QliksensePython - NumpyPandasscikit learnPytorchTensor FlowSQLAWS toolsDeep LearningNLPNeural NetworksProbability & StatisticsLogistic RegressionXGBoostLGBM

About

I still remember writing my first ML model at IIT Madras. It was fascinating, but theoretical. 9 years later, in the high-stakes world of FinTech, I’ve learned that "clean code" isn't enough—your models need to solve million-dollar problems. Over the last decade, I have worked at the intersection of Finance and AI. I’ve moved from building basic predictive models to deploying large-scale AI systems that detect fraud, optimize credit risk, and personalize banking for millions of users. I don’t just train models; I build data products that work in production. On LinkedIn, I share the "unfiltered" side of Data Science that courses won't teach you: - Real-world ML: Handling messy financial data, productionizing MLOps, and LLMs. - Domain Knowledge: Why context matters more than algorithms in Data Science of BFSI. - Career Growth: How to move from Junior Analyst to Lead Data Scientist and beyond. Tech: Python, PyTorch, SQL, AWS, LLMs. Domain: Credit Risk, Fraud, Operations. I’m on a mission to help 5,000 data professionals bridge the gap between "Theory" and "Industry." Hit Follow for daily insights. Check my Featured section for my latest breakdown on AI/ML in FinTech. Let’s build together.

Experience

8 yrs 9 mos
Total Experience
2 yrs 11 mos
Average Tenure
3 yrs
Current Experience

Credit saison india

3 roles

Assoc. Data Science Manager

Oct 2025Present · 7 mos · Hybrid

FinTechCredit Risk

Lead Data Scientist | Credit Risk

Promoted

Oct 2024Oct 2025 · 1 yr · Hybrid

FinTechCredit Risk

Associate Lead Data Scientist

May 2023Oct 2024 · 1 yr 5 mos · Hybrid

  • Credit Risk Modelling (Probability & Statistics, Logistic Regression, XGBoost, LGBM, RF, CART)
  • Model monitoring (PSI, CSI, Gini, KS)
  • SBL (Small Business Loans) credit modelling (using CIBIL, Experian, CRIF bureau data, behavioural data, Bank Statement data, Mobile App data, SMS data)
  • Data Science & Analytics Tools: Qliksense, Python - Numpy, Pandas, scikit learn, Pytorch, Tensor Flow, SQL, AWS tools)
  • Deep Learning (NLP, Neural Networks)
FinTechCredit RiskQliksensePython - NumpyPandasscikit learn+7

Kaleidofin

Senior Data Scientist

Dec 2021May 2023 · 1 yr 5 mos · Bangalore Urban, Karnataka, India

  • Credit risk analytics (CE, PAR, Vintage Analysis, Origination cohorts, Roll rates, Probability of Default)
  • Credit decision modelling (X Gradient Boosting, Logistic regression with WOE)
  • Model monitoring (PSI, CSI, Gini, KS statistic)
  • App analytics (GA 4, Big Query)
FinTechData ScienceCredit risk analyticsGA 4Big Query

Allstate

3 roles

Data Scientist

Promoted

Dec 2019Dec 2021 · 2 yrs

  • Statistical decision making (early prediction of bounce users & dynamic change of web application)
  • "key Talent Award" - Top 50 among 12,000 employees who impacted the business for great!
  • Dynamic model to predict top 10% fields that estimate the final quotation rate (enhance user experience)
  • Headed innovation & intelligence divisions of the product operations
FinTechStatistical Data Analysis

Business Data Analyst

Jun 2018Dec 2019 · 1 yr 6 mos

Statistical Data AnalysisFinTech

Data & Engineering Consultant

Aug 2017Jun 2018 · 10 mos

FinTech

Education

Indian Institute of Technology, Madras

BTech — Bachelor of technology

Jan 2013Jan 2017

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