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NICHOLAS *** AI Data Analyst

$656 / day

Summary

With a robust background as an experienced statistician, I offer a strong foundation in risk analysis and a sharp proficiency in quantitative information management both critical for astute business decision making. My track record is marked by proven expertise in both statistics and economics, highlighted by my leadership on high-stakes projects valued at over $60 million. My skill set is not merely about meticulous data interpretation; it also equips businesses with a strategic advantage in tackling intricate economic environments.

SKills

Actuarial and Financial ModellingApache SparkDatabricksExcelNeural NetworksPower BIPythonRSQLSTATAStatistical & Stochastic Modelling
AI ConsultantData Scientist

Education

2020 Master of Artificial Intelligence at University of New England
2020 Bachelor of Actuarial Science at Bond University

Experience

feb 2024 - Present AI Data Analyst at Rapid Loans

– Optimised financial integrity by pinpointing and rectifying
inconsistencies in loan calculators, enhancing contractual
compliance and interest revenue.
– Engineered a robust commercial DCF investment model in
Excel, facilitating strategic investment decisions across
AI scorecards, and manual processes.
• Conducted thorough credit assessments by scrutinising
applications, bank statements, credit reports, and personal
property securities registries.
– Executed informed credit decisions and meticulously drafted
loan contracts.
– Fostered collaborative relationships with brokers and sales
teams to streamline credit processes.

July 2020 - Dec 2023 Lead Statistician & Economist at Griffith University

– Crafted sophisticated Discounted Cash Flow (DCF) models for
evaluating pharmaceutical reimbursements across multiple
markets, optimising investment strategies in health
technology.
– Led a pivotal Phase 3, multi-center, randomized,
placebocontrolled clinical trial targeting bronchiectasis
prevention in infants with cystic fibrosis, leveraging chi-
squared and mixedeffects regression analyses.
– Designed strategic decision analytic frameworks for the
Health Ministry to efficiently allocate hospital beds for
non-critical conditions, enhancing healthcare delivery.
– Employed advanced mixed-effects regression models and
accelerated longitudinal designs to forecast risk factors
and pulmonary function trajectories in pediatric cystic
fibrosis patients.
– Innovated validation and redevelopment of Generalized
Linear Models (GLM), merging extensive datasets lacking
unique identifiers to pinpoint and mitigate preventable
emergency hospital admissions.
– Developed random effects meta-regression models to assess
cutting-edge skin cancer therapies and performed in-depth
survival analyses on autologous stem cell transplantation
outcomes.
– Executed rigorous data analyses to minimise respiratory
incidents among healthcare workers during the COVID-19
crisis and spearheaded clinical trials for probiotics in
the management of allergic rhinitis.