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I am an experienced Data Science professional with a strong background in providing data-driven solutions, especially in the BFSI domain. I have developed expertise in ETL processes using Python and SQL, with a focus on model development and statistical analysis to meet business needs. I've contributed to fraud mitigation, credit risk segmentation, and anomaly detection projects, and am passionate about using machine learning to solve complex problems. I enjoy collaborating closely with stakeholders to deliver impactful solutions, from forecasting sales to reducing application crashes. My aim is always to leverage data effectively to improve operational efficiency and drive strategic outcomes.…I am an experienced Data Science professional with a strong background in providing data-driven solutions, especially in the BFSI domain. I have developed expertise in ETL processes using Python and SQL, with a focus on model development and statistical analysis to meet business needs. I've contributed to fraud mitigation, credit risk segmentation, and anomaly detection projects, and am passionate about using machine learning to solve complex problems. I enjoy collaborating closely with stakeholders to deliver impactful solutions, from forecasting sales to reducing application crashes. My aim is always to leverage data effectively to improve operational efficiency and drive strategic outcomes.

Prateek Kumar

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I am an experienced Data Science professional with a strong background in providing data-driven solutions, especially in the BFSI domain. I have developed expertise in ETL processes using Python and SQL, with a focus on model development and statistical analysis to meet business needs. I've contributed to fraud mitigation, credit risk segmentation, and anomaly detection projects, and am passionate about using machine learning to solve complex problems. I enjoy collaborating closely with stakeholders to deliver impactful solutions, from forecasting sales to reducing application crashes. My aim is always to leverage data effectively to improve operational efficiency and drive strategic outcomes.…I am an experienced Data Science professional with a strong background in providing data-driven solutions, especially in the BFSI domain. I have developed expertise in ETL processes using Python and SQL, with a focus on model development and statistical analysis to meet business needs. I've contributed to fraud mitigation, credit risk segmentation, and anomaly detection projects, and am passionate about using machine learning to solve complex problems. I enjoy collaborating closely with stakeholders to deliver impactful solutions, from forecasting sales to reducing application crashes. My aim is always to leverage data effectively to improve operational efficiency and drive strategic outcomes.

Available to hire

I am an experienced Data Science professional with a strong background in providing data-driven solutions, especially in the BFSI domain. I have developed expertise in ETL processes using Python and SQL, with a focus on model development and statistical analysis to meet business needs. I’ve contributed to fraud mitigation, credit risk segmentation, and anomaly detection projects, and am passionate about using machine learning to solve complex problems.

I enjoy collaborating closely with stakeholders to deliver impactful solutions, from forecasting sales to reducing application crashes. My aim is always to leverage data effectively to improve operational efficiency and drive strategic outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Hindi

Advanced

Work Experience

Consultant 2 ( Credit Card Fraud Strategy ) at Exl Services

November 1, 2023 - Present

Active member of fraud mitigation team, working on Application Onboarding and Post Booking Transaction Fraud Strategy primarily for IDT and FPF. Developed and implemented fraud strategies, projected to deliver approximately $3M in annual performance improvements for Consumer and SMB portfolio using Python and SQL. Developed strategic dashboards and monitored key KPIs such as Daily Traffic Monitoring, Onboarding Step-Up Volumes, Rule Hit-Rate, Fraud Approval Rate, Low tenured Disputes, Merchant concentrations, High Dollar Claims, Model Scores, and FTG Metrics. Currently developing a fraud segmentation framework informed by emerging fraud trends to design tailored strategies for each mutually exclusive segmentation.

Senior Analyst at Synchrony Financials

November 1, 2023 - July 30, 2025

Executed Credit Risk Segmentation, identifying and segregating risk segments resulting in distinct risk clusters based on data attributes, enabling targeted risk mitigation strategies to drive operational efficiency using Python and SQL. Employed classification algorithms on ETL processed data; XG-Boost outperformed for approved risk segments with low false positive rates, utilizing KS Score and Gini Coefficient to measure inequality in population distribution.

Senior System Engineer - Analytics Unit at Infosys Limited

November 30, 2022 - July 30, 2025

Executed anomaly detection to identify and flag anomalies based on system users activities data with around 200k entries using SQL and Python. Leveraged strong experience in machine learning, applying classification algorithms including Logistic Regression, Decision Trees, Random Forest, and XG-Boost; used confusion matrix and achieved recall measures of 0.83 to detect positive samples. Analyzed high-impact attributes to predict application crashes using advanced statistical models and machine learning algorithms, achieving 78% accuracy in identifying potential crashes and reducing user complaints by 30%.

Consultant 2 ( Credit Card Fraud Strategy ) at Exl Services

November 1, 2023 - Present

Active member of fraud mitigation team, working on Application Onboarding and Post Booking Transaction Fraud Strategy primarily for IDT and FPF. Developed and implemented fraud strategies projected to deliver approximately $3M in annual performance improvements for Consumer and SMB portfolio using Python and SQL. Developed strategic dashboards and monitored key KPIs including Daily Traffic Monitoring, Onboarding Step-Up Volumes, Rule Hit-Rate, Fraud Approval Rate, Low tenured Disputes, Merchant concentrations, High Dollar Claims, Model Scores, and FTG Metrics. Currently developing fraud segmentation framework informed by emerging fraud trends to design tailored strategies for mutually exclusive segments.

Senior Analyst at Synchrony Financials

November 1, 2023 - July 30, 2025

Executed Credit Risk Segmentation to identify and segregate risk clusters based on data attributes to enable targeted risk mitigation strategies and drive operational efficiency using Python and SQL. Employed classification algorithms on ETL processed data; XG-Boost outperformed for approved risk segments with low false positive rates, using KS Score and Gini Coefficient to measure population inequality.

Senior System Engineer - Analytics Unit at Infosys Limited

November 1, 2022 - July 30, 2025

Executed anomaly detection to identify and flag anomalies based on system users' activities using SQL and Python on data with around 200k entries. Applied machine learning classification algorithms such as Logistic Regression, Decision Trees, Random Forest, and XG-Boost; used Confusion Matrix and achieved recall of 0.83 to detect positive samples. Analyzed high-impact attributes to predict application crashes using advanced statistical models and machine learning algorithms; achieved 78% accuracy in identifying potential crashes and reduced user complaints by 30%.