07/03/2026 updated
100 % available
Senior Analytics Consultant | Risk Analytics & Forecasting | Data-Driven Decision Making
GAUTAM BUDDHA NAGAR, India
Worldwide
MBA (Business Economics)About me
4 years' experience in Credit Risk Modelling and Analytics alongside Data Modelling and Analysis
Adobe AnalyticsMicrosoft Analysis ServicesData AnalysisFinancial Data AnalysisBusiness AnalysisData ProfilingDatabase AnalysisFinancial Risk ModelingData-Flow AnalysisForecastingHR AnalyticsPython (Programming Language)Marketing AnalyticsOnline Analytical ProcessingOutage Management Systems
Statistical Modeling & Predictive Forecasting
Development and enhancement of predictive forecasting models for large-scale consumer portfolios, improving model performance accuracy by approximately 10% and increasing forecast accuracy by approximately 25% through acquisition data-driven approaches.
Data Analytics & Pipeline Development
Development of scalable data pipelines and analytical solutions using SAS, SQL, and UNIX to improve efficiency, automation, and reporting timelines across enterprise-level analytics initiatives.
Risk Analytics & Model Governance
End-to-end analytical model development including data preparation, feature engineering, model validation, audit readiness, and technical documentation for risk analytics and forecasting in US Banking.
SAS Programming
Proficiency in SAS for building analytical models, developing data pipelines, and supporting forecasting and risk analytics workflows.
Python
Application of Python in data analysis and process automation tasks within analytics projects.
SQL & UNIX
Use of SQL and UNIX for data extraction, transformation, and analytical workflow optimization, reducing runtime by over 90%.
Process Optimization & Automation
Optimization of analytical workflows and model execution processes to significantly improve operational efficiency and reduce manual effort.
Stakeholder Management & Documentation
Collaboration with cross-functional stakeholders including Risk Management and Policy Teams, supported by technical documentation, audit readiness, and analytical reporting.
Microsoft Office Suite
Utilization of Microsoft Office Suite for reporting, documentation, and presentation of analytical findings to business stakeholders.
Development and enhancement of predictive forecasting models for large-scale consumer portfolios, improving model performance accuracy by approximately 10% and increasing forecast accuracy by approximately 25% through acquisition data-driven approaches.
Data Analytics & Pipeline Development
Development of scalable data pipelines and analytical solutions using SAS, SQL, and UNIX to improve efficiency, automation, and reporting timelines across enterprise-level analytics initiatives.
Risk Analytics & Model Governance
End-to-end analytical model development including data preparation, feature engineering, model validation, audit readiness, and technical documentation for risk analytics and forecasting in US Banking.
SAS Programming
Proficiency in SAS for building analytical models, developing data pipelines, and supporting forecasting and risk analytics workflows.
Python
Application of Python in data analysis and process automation tasks within analytics projects.
SQL & UNIX
Use of SQL and UNIX for data extraction, transformation, and analytical workflow optimization, reducing runtime by over 90%.
Process Optimization & Automation
Optimization of analytical workflows and model execution processes to significantly improve operational efficiency and reduce manual effort.
Stakeholder Management & Documentation
Collaboration with cross-functional stakeholders including Risk Management and Policy Teams, supported by technical documentation, audit readiness, and analytical reporting.
Microsoft Office Suite
Utilization of Microsoft Office Suite for reporting, documentation, and presentation of analytical findings to business stakeholders.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishNative speaker
Project history
Leading end-to-end analytical model development including data preparation, feature engineering, model development, validation support, and technical documentation for forecasting and analytics initiatives. Developing scalable data pipelines and analytical solutions using SAS, SQL, and UNIX. Collaborating with cross-functional stakeholders to deliver data-driven insights and support governance and business decision-making processes.
Developed and enhanced predictive forecasting models for large-scale consumer portfolios, improving model performance accuracy by approximately 10%. Optimized analytical workflows and model execution processes, reducing runtime by over 90% and improving operational efficiency. Supported model governance, validation, and stakeholder engagement through technical documentation, audit readiness, and analytical reporting.
Developed a loss forecasting model using acquisition data, increasing forecast accuracy by approximately 25%, improving portfolio risk assessment, and enhancing capital allocation decisions. Collaborated with cross-functional teams including Risk Management and Policy Team. Actively managed maintenance of models by presenting findings, model outputs, and issue remediation for previously built models.