Aman Singh
Bengaluru
Summary
Dynamic Manager at EY India with expertise in machine learning model development and client relationship management. Successfully led innovative credit risk model implementations, enhancing decision-making processes. Proven ability to mentor teams and deliver high-quality solutions, driving organizational transformations and optimizing performance through advanced statistical techniques.
Overview
9
9
years of professional experience
Work History
Manager
EY India
Bengaluru
11.2024 - Current
- Managed client relationships and ensured satisfaction with services provided.
- Led project teams to develop innovative solutions for clients.
- Deploy credit risk models for advisory clients.
- Apply data science knowledge in credit risk models.
- Provided expert guidance on change management initiatives, leading to successful organizational transformations.
- Deploy the Model Risk Validation Platform Solution to a European client.
- Conducted post-implementation reviews for continuous improvement opportunities in future projects.
- Managed multiple simultaneous projects while maintaining high quality standards and meeting strict deadlines under pressure situations.
Senior Consultant
EY India
Bengaluru
06.2021 - 10.2024
- Increased client satisfaction by providing tailored consulting services, and effective problem-solving strategies.
- Worked on 10+ Scorecard and IFRS 9 Model implementation projects.
- Implement the Scorecard and Credit Risk Model on the client's premises.
- Conducted thorough market analyses, identifying growth opportunities, and informing strategic decision-making for clients.
- Implement PD, LGD, and EAD models for advisory clients.
- Apply data science knowledge in linear regression credit risk models.
- Develop a process flow using Credit Lens by getting user responses and generating PD ratings and grades on the basis of the model scale.
- Enhanced team performance by providing mentorship and guidance to junior consultants on best practices in system implementations.
- Conducted post-implementation reviews for continuous improvement opportunities in future projects.
Machine Learning Engineer
Reckitt Benckiser
Gurgaon
07.2020 - 03.2021
- Developed time series sales forecasting model using ARIMA to enhance accuracy in predictions.
- Converted client use cases into defined problem statements for development team understanding.
- Gathered data, designed annotation portal, and led human annotators in data annotation efforts.
- Created algorithms and predictive models to extract insights and add business value.
- Identified and implemented use cases to support organizational business development strategies.
- Interpreted results to produce actionable insights that improved business performance metrics.
- Operationalized and monitored successful models to influence business and data science strategies.
- Collaborated with departments to address problems and identify trends and opportunities.
Analyst
Wipro
Gurgaon
11.2016 - 07.2020
- Conducted root cause analysis and resolved issues to enhance system performance.
- Performed comprehensive system analysis, testing, documentation, and user support for platform transitions.
- Delivered detailed benefit administration training, focusing on data protection and error reduction.
- Reviewed performance benchmarks and established metrics for ongoing evaluation.
- Developed insightful reports for investor relations meetings to facilitate informed decision-making.
- Gathered requirements and crafted project plans; tested prototypes and final products for functionality.
- Automated scripts to integrate HR data into analytical models efficiently.
- Participated in daily huddles to clarify HR requirements and foster team collaboration.
Education
Bachelor's in Engineering - Computer Science
Global Nature Care Sangathan Group of Institution
Jabalpur08.2016
Skills
- Machine learning model development
- Classification and regression models
- XGBoost and Random Forest
- Logistic regression and SVM
- KNN algorithm
- IFRS 9 PD modeling
- LGD and EAD implementation
- Client relationship management
- Scorecard development and validation
- Gini, KS, and AUC metrics
- CAP analysis
- Weight of evidence (WoE)
- Information value (IV)
- Model calibration and rating scale development
- Python programming
- SQL database management
- R statistical analysis
- Credit Lens software proficiency
- Impairment Studio expertise
Timeline
Manager
EY India
11.2024 - Current
Senior Consultant
EY India
06.2021 - 10.2024
Machine Learning Engineer
Reckitt Benckiser
07.2020 - 03.2021
Analyst
Wipro
11.2016 - 07.2020
Bachelor's in Engineering - Computer Science
Global Nature Care Sangathan Group of Institution