Summary
Overview
Work History
Education
Skills
Interests
Timeline
Generic

Akash Vashishtha

Sydney

Summary

Data Scientist and AI Engineer with over a decade of expertise spanning traditional ML, analytics, and modern agentic AI systems. Deep specialization in financial services—from credit decisioning and model risk management to cutting-edge LLM applications. Proven track record of bridging classical machine learning rigor with emerging AI technologies while driving cross-functional teams to deliver high-impact solutions in complex, regulated environments.

Overview

13
13
years of professional experience

Work History

Data Scientist - AI, Credit Decisioning & Underwriting

Commonwealth Bank of Australia, CBA
11.2019 - Current

Agentic AI Systems: Architected and deployed an AI Underwriting Agent for consumer finance decisioning, defining evaluation-first design (4-stage testing framework covering hallucination prevention, risk-flag precision, data grounding), integrated Langfuse/HoneHive observability, and authored Model Risk Assessment documentation with quantified impact analysis and phased rollout strategy aligned to governance requirements.

Production ML & Model Development: Designed and deployed geo-based risk binning model integrating multiple scoring outputs (application score, early default, metascore) to optimize origination strategies at SA4 granularity.

Model Governance & Monitoring: Led quarterly oversight and performance monitoring of personal lending, credit card, customer and collections models. Implemented daily score integrity checks, directed calibration investigations to resolve performance mismatches, and enhanced monitoring frameworks for early degradation detection and regulatory compliance.

Cross-Functional Strategy & Risk Management: Orchestrated scorecard enhancement initiatives, data pipeline development, and Model Risk Assessments across multiple portfolios. Coordinated data discovery and access alignment across product, engineering, risk, and operations teams, and partnered with engineers on observability platform integration via PR reviews and acceptance testing.

Analytics Manager

EXL Analytics
05.2017 - 06.2019

Credit Risk Modeling: Developed customer scorecard for Citibank (USA) using logistic regression, leading data exploration, feature engineering, and statistical validation (significance testing, correlation analysis, stability metrics). Enhanced model interpretability and documentation for regulatory compliance and stakeholder alignment.

Data Engineering & Automation: Re-engineered SAS macros with embedded QA frameworks to improve data pipeline reliability and reduce manual rework. Established automated quality checks that became standard practice, accelerating model development cycles and improving data integrity.

Healthcare Analytics Transformation: Migrated manual MS Access/SAP reporting workflows for Presbyterian Health Services (USA) to automated SAS EG pipelines. Built interactive Tableau dashboards combining descriptive and predictive analytics, reducing report generation time from days to hours.

Self-Service Analytics: Engineered web application using SAS stored procedures enabling business users to dynamically query and analyze reporting outputs, democratizing data access

Associate Business Consultant

ZS Associates
04.2016 - 04.2017
  • Management Consulting (Pharmaceuticals/Medical Devices): Conducted commercial analytics for UCB Pharmaceuticals and Wright Medical Group, delivering territory optimization, sales force sizing models, competitive intelligence, and performance benchmarking—translating analytical insights into actionable go-to-market strategies.

Software Engineering Analyst

Accenture
01.2013 - 03.2015
  • ETL Development & Data Warehousing: Built and maintained ETL pipelines for Pfizer (USA) sales and marketing data warehouse, supporting large-scale data integration and reporting needs. Collaborated with cross-functional onshore/offshore teams on production support, data quality enhancements, and release cycle delivery.

Education

MBA, Finance

Great Lakes Institute of Management
Chennai, India
03-2016

Bachelor of Engineering - Computer Science

IP University
Delhi, India
01.2012

Skills

  • LangChain LangFuse HoneyHive Multi-Agent Orchestration OpenAI SDK CrewAI Prompt Engineering Agentic Workflows
  • XGBoost LightGBM Ensemble Methods Feature Engineering Hyperparameter Optimization Model Validation
  • AWS (SageMaker) CI/CD Pipelines Docker MLflow Model Monitoring Experiment Tracking
  • Time Series Analysis A/B Testing Causal Inference Hypothesis Testing Regression Analysis Experimental Design
  • Python SQL PySpark ETL Design Data Quality Frameworks Pipeline Orchestration
  • Git Unit Testing SAS R Tableau Streamlit AI-Assisted Development (Claude Code)

Interests

  • DIY and Home Improvement
  • Backpacking and Hiking
  • Historical Exploration
  • Adventure Sports

Timeline

Data Scientist - AI, Credit Decisioning & Underwriting

Commonwealth Bank of Australia, CBA
11.2019 - Current

Analytics Manager

EXL Analytics
05.2017 - 06.2019

Associate Business Consultant

ZS Associates
04.2016 - 04.2017

Software Engineering Analyst

Accenture
01.2013 - 03.2015

MBA, Finance

Great Lakes Institute of Management

Bachelor of Engineering - Computer Science

IP University
Akash Vashishtha