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Arpan Mahato

@arpanmahato

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Data Scientist at KPMG Global Services who improved a churn model’s recall from 62% to 71%.

India

Message

At KPMG Global Services, I improved an existing churn prediction model through machine learning experimentation, feature engineering, hyperparameter optimization, and K-fold cross-validation. The work increased recall from 62% to 71%.

At Accenture, I developed predictive models for vehicle brand recommendations and lead conversion, and implemented a daily lead-scoring and alert mechanism that increased lead conversion by 11%. I also developed an enhanced lead profiling system using SQL and Google Cloud Scheduler.

Experience

Work history, roles, and key accomplishments

Current

Associate Consultant- Data Science

Current

KPMG Global Services

May 2025 - Present (1 year 4 months)

Working on churn rate prediction model, improving existing solutions through ML experimentation including hyperparameter optimization, feature engineering, and K-fold cross validation, increasing recall from 62% to 71%.

Python Machine Learning Excel SQL Hyperparameter Optimization Feature Engineering K Fold Cross Validation

AI/ML Computational Science Analyst

Accenture

Jul 2023 - May 2025 (1 year 10 months)

Developed predictive models for next vehicle brand recommendation, lead conversion prediction, and enhanced lead profiling, achieving significant business impact including increased lead conversion rate by 11%.

Python SQL Machine Learning Google Cloud Platform XGBoost Random Forest Linear Regression Statistics Google Cloud Scheduler Class Imbalance Handling Hyperparameter Optimization K Fold Cross Validation

Education

Degrees, certifications, and relevant coursework

University of Calcutta

Master of Science, Economics

2021 - 2023

Grade: 6.7

Master of Science in Economics with relevant coursework in Econometrics, Statistics, Financial Economics, and Microeconomics. Thesis on the impact of children on household behavior using household data and econometric techniques.