NIKHIL BABU

AI · DATA SCIENCE · STRATEGY CONSULTING

I sit at the intersection of
technical depth and strategic clarity.

TECHNICAL DEPTH

I build models. AI, causal, predictive.

RAGLLM workflowsPythonCausal inference

STRATEGY CONSULTING

I advise executives on AI adoption and strategy.

RoadmapsExecutive advisoryROI quantification

END-TO-END DELIVERY

I take projects from ambiguity to delivery.

Cross-functional teamsScaled best practicesClient delivery

ABOUT

Most people who understand a RAG pipeline can't explain its strategic implications to a CEO. I can do both.

Six years across strategy consulting and applied data science, leading teams and managing clients including Microsoft, Google, Instacart, and Uber — building the technical work and presenting the findings, end to end.

CURRENTLY
Data Science Manager, Mandala Partners
PREVIOUSLY
Accenture Strategy / AlphaBeta
EDUCATION
Australian National University · Bachelor of Advanced Computing (Honours)
BASED
Sydney, Australia

EXPERIENCE

Mandala Partners

Data Science Manager

June 2024 – Present

  • Jobs & Skills Australia: architected RAG pipelines and LLM workflows in Python to categorise 40,000+ unique skills from longitudinal LinkedIn data — insights shaped national workforce policy.

  • Microsoft “Australia’s AI Economy”: co-created a strategic framework identifying high-value positions in the AI technology stack, delivering a narrative that validated Microsoft’s regional investment priorities at executive level.

  • Established firm-wide AI standards: trained 40+ staff on prompt engineering and LLM workflows, and built quality assurance frameworks for AI-assisted delivery.

Accenture Strategy

Strategy Manager

Sep 2019 – May 2024

AlphaBeta Australia was acquired by Accenture in 2021

  • Built a Python model to predict worker lifetime value (LTV) in a two-sided marketplace — subsequently productionised by the client's engineering team.

  • Developed a causal inference model estimating the financial impact of worker supply interventions; findings presented to the executive team and directly informed incentive strategy.

  • Analysed 17M+ Uber restaurant and delivery transactions to measure the economic impact of food delivery on the restaurant industry; findings delivered to executives and released as a public report.

WORK

THE WORK

Built RAG pipelines and LLM workflows in Python to process ASX 200 annual reports and categorise 40,000+ unique skills from longitudinal LinkedIn data.

THE IMPACT

Delivered quantitative insights on AI adoption patterns that shaped national workforce policy.

PythonRAGLLM workflowsLongitudinal data analysis

THE WORK

Co-created a framework identifying high-value positions in the AI technology stack for the Australian market.

THE IMPACT

Delivered a strategic narrative that validated Microsoft's regional investment priorities at executive level.

LinkedIn data analysisEconomic modellingExecutive advisory

THE WORK

Built a Python model to predict worker lifetime value (LTV) in a two-sided marketplace.

THE IMPACT

Model was subsequently productionised by the client's engineering team and integrated into their retention strategy.

PythonML modellingTwo-sided marketplace dynamicsProduction deployment

SKILLS

BUILD

I build models — predictive, econometric, and AI.

RAG pipelinesLLM workflowsML pipelinesPredictive modellingEconometric modellingSQLPrompt engineering

ANALYSE

I extract insight from complex, messy data.

EconometricsCausal inferenceExperimental designData visualisationSurvey design

COMMUNICATE

I make technical findings land with executive audiences.

Executive advisoryAI roadmappingWorkshop facilitationBusiness case & ROIStakeholder management