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Data Scientist with 3+ years of experience building machine learning, AI, and analytics solutions in fintech and banking environments. Skilled in predictive modeling, risk analytics, NLP, and cloud-based data platforms, with hands-on experience deploying production models, building scalable data pipelines, and delivering measurable business outcomes. Experienced in transforming complex financial and behavioral data into actionable insights using statistical analysis, experimentation, and AI-driven decision support systems. Strong background in model explainability, monitoring, and governance, along with end-to-end collaboration across data engineering, product, and underwriting use cases.…Data Scientist with 3+ years of experience building machine learning, AI, and analytics solutions in fintech and banking environments. Skilled in predictive modeling, risk analytics, NLP, and cloud-based data platforms, with hands-on experience deploying production models, building scalable data pipelines, and delivering measurable business outcomes. Experienced in transforming complex financial and behavioral data into actionable insights using statistical analysis, experimentation, and AI-driven decision support systems. Strong background in model explainability, monitoring, and governance, along with end-to-end collaboration across data engineering, product, and underwriting use cases.

Hariharan Selvam

Data Scientist, Data Engineer, AI Engineer, +3

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Data Scientist with 3+ years of experience building machine learning, AI, and analytics solutions in fintech and banking environments. Skilled in predictive modeling, risk analytics, NLP, and cloud-based data platforms, with hands-on experience deploying production models, building scalable data pipelines, and delivering measurable business outcomes. Experienced in transforming complex financial and behavioral data into actionable insights using statistical analysis, experimentation, and AI-driven decision support systems. Strong background in model explainability, monitoring, and governance, along with end-to-end collaboration across data engineering, product, and underwriting use cases.…Data Scientist with 3+ years of experience building machine learning, AI, and analytics solutions in fintech and banking environments. Skilled in predictive modeling, risk analytics, NLP, and cloud-based data platforms, with hands-on experience deploying production models, building scalable data pipelines, and delivering measurable business outcomes. Experienced in transforming complex financial and behavioral data into actionable insights using statistical analysis, experimentation, and AI-driven decision support systems. Strong background in model explainability, monitoring, and governance, along with end-to-end collaboration across data engineering, product, and underwriting use cases.

Available to hire

Data Scientist with 3+ years of experience building machine learning, AI, and analytics solutions in fintech and banking environments. Skilled in predictive modeling, risk analytics, NLP, and cloud-based data platforms, with hands-on experience deploying production models, building scalable data pipelines, and delivering measurable business outcomes.

Experienced in transforming complex financial and behavioral data into actionable insights using statistical analysis, experimentation, and AI-driven decision support systems. Strong background in model explainability, monitoring, and governance, along with end-to-end collaboration across data engineering, product, and underwriting use cases.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Work Experience

Data Scientist at Affirm

January 1, 2025 - Present

Architected a real-time BNPL credit decisioning platform using Python and Kafka streams to evaluate applications within 900 milliseconds while supporting consistent underwriting across merchant categories. Modeled delinquency probability using XGBoost and engineered repayment features from 18 million historical records to enable earlier risk identification and strengthen installment lending strategies. Built Databricks feature pipelines to consolidate behavioral, transaction, and device attributes, improving training-data reliability and reducing model refresh feature-prep effort. Derived underwriting signals using transformer-based NLP on merchant descriptions and servicing interactions to improve fraud detection and reduce manual review workload. Operationalized model inference with SageMaker endpoints and MLflow tracking, reducing rollback incidents by 22% and improving deployment stability. Developed LangChain investigation workflows generating structured summaries of anomalous tra

Data Analyst at TCS

August 1, 2021 - July 1, 2023

Analyzed customer attrition patterns across 12 million retail banking transactions using SQL and Python to identify behavioral segments that improved retention targeting and increased active customer participation by 11%. Consolidated card, deposit, and lending datasets through PySpark pipelines orchestrated with Airflow, reducing data refresh latency from six hours to 95 minutes for downstream reporting. Built a centralized Snowflake analytics repository integrating customer activity and product usage metrics to enable consistent portfolio analysis and improved cross-functional data access. Created Tableau dashboards to visualize digital adoption, engagement trends, and cross-sell performance for stakeholders across 140 branches, supporting prioritization of outreach initiatives. Evaluated personalized notification campaigns using statistical A/B testing, finding a 13% improvement in engagement rates. Forecasted customer churn using scikit-learn models and engineered behavioral featur