ALINMORARIULeveragingmodern statistical methods tomake data-driven decisions[ [email protected] Ó 647-864-6852 ½ Toronto, Canada® A-Morariu.github.io � A-Morariu ¯ alinmorariu 7 @AlinMorariu2

ACADEMIC EXPERIENCETeaching AssistantRyerson Univeristy &University of Toronto� Jan 2018 – Present ½ Toronto• Lead tutorials and office hours to strengthen understand-ing of analytical concepts in undergraduate courses

• Courses: Statistical Reasoning, Data Analysis I, StatisticalMethods forMachine Learning I, Probability & Statistics I

Summer Research StudentSt. Michael’s Hospital� May 2019 – Aug. 2019 ½ Toronto• Spatio-temporal modeling of Personal Attrition Factorsfor prediction of lung cancer deaths in India

Research AssistantUniversity of Toronto� Jan. 2018 –May 2019 ½ Toronto• Department of Statistics: Evaluate effectiveness of theuniversity’s statistics programs to revamp curriculum

• Risk Lab: Create a quantitativemethodology for indexingcryptocurrencies with use of time series andmultivariatedata analysis

AREASOF INTEREST

Monte Carlomethods

ReinforcementLearning Deep Learning

Spatio-temporalmodeling

Model inter-pretability

EDUCATIONM.Sc . AppliedMathematics (Thesis Option)Ryerson University - FinancialMathematics Group� Sept 2019 – June 2021 ½ Toronto• Thesis: Penalized Complexity Priors for Zero InflatedPoissonmodels, Reinforcement Learning

B.Sc. Statistics &MathematicsUniversity of Toronto� Sept 2014 – June 2019 ½ Toronto• Key Courses:Machine Learning, Bayesian Data Analysis,Spatial Statistics, Multivariate Data Analysis, StatisticalComputing, Time Series Analysis, Statistical Computation

PROFESSIONAL EXPERIENCEData Science InternOntario Teachers’ Pension Plan� May 2020- Present ½ Toronto• Provide data driven decisionmaking support to CapitalMarkets division

Actuarial Analyst - ConsumerMarkets PricingManulife Financial� Sept. 2017 – Exp. Dec. 2017 ½ Toronto• Standardized pricingmodels across health, dental, andtravel products to eliminate need of per-product updatesfor repricing purposes

• Revitalized travel pricingmethodology using fundamentalmachine learning techniques to predict claim patterns andhighlight risk factors

Investment Consulting AnalystMercer (Canada) Limited� May 2017 – Aug. 2017 ½ Toronto• Monitored quarterly performance of funds with a keenfocus on past results in order to optimize asset allocationof institutional clients

• Automated significant portion of daily data entry processwith VBAMacros to half run time of asset reconciliation

Pension Consulting AnalystMercer (Canada) Limited� Jan. 2016 –May. 2016 ½ Toronto• Performed funding valuation to determine updated liabili-ties resulting in savings of $100,000 annually

• Linearized single benefit and PSPA calculations with thecreation of an Excel-based calculator to reducemanualcalculations by 90%

Lifeguard and Swim InstructorCity of Toronto, YMCA, Toronto Pan. Am. Sports Centre� Dec. 2012 – Jan. 2018 ½ Toronto• Develop effective teachingmethods for children andadults in order to improve swimming abilities

STRENGTHSSystematic Problem Solving Detail OrientedPresentation Skills Collaborative Research

R Statistical Analysis Spatio-temporalModelsBayesian Inference Supervised Learning