ALIN MORARIU Leveraging modern statistical methods to make data-driven decisions [email protected] 647-864-6852 Toronto, Canada A-Morariu.github.io A-Morariu alinmorariu @AlinMorariu2 ACADEMIC EXPERIENCE Teaching Assistant Ryerson Univeristy & University of Toronto Jan 2018 – Present Toronto • Lead tutorials and office hours to strengthen understand- ing of analytical concepts in undergraduate courses • Courses: Statistical Reasoning, Data Analysis I, Statistical Methods for Machine Learning I, Probability & Statistics I Summer Research Student St. Michael’s Hospital May 2019 – Aug. 2019 Toronto • Spatio-temporal modeling of Personal Attrition Factors for prediction of lung cancer deaths in India Research Assistant University of Toronto Jan. 2018 – May 2019 Toronto • Department of Statistics: Evaluate effectiveness of the university’s statistics programs to revamp curriculum • Risk Lab: Create a quantitative methodology for indexing cryptocurrencies with use of time series and multivariate data analysis AREAS OF INTEREST Monte Carlo methods Reinforcement Learning Deep Learning Spatio- temporal modeling Model inter- pretability EDUCATION M.Sc . Applied Mathematics (Thesis Option) Ryerson University - Financial Mathematics Group Sept 2019 – June 2021 Toronto • Thesis: Penalized Complexity Priors for Zero Inflated Poisson models, Reinforcement Learning B.Sc. Statistics & Mathematics University of Toronto Sept 2014 – June 2019 Toronto • Key Courses: Machine Learning, Bayesian Data Analysis, Spatial Statistics, Multivariate Data Analysis, Statistical Computing, Time Series Analysis, Statistical Computation PROFESSIONAL EXPERIENCE Data Science Intern Ontario Teachers’ Pension Plan May 2020- Present Toronto • Provide data driven decision making support to Capital Markets division Actuarial Analyst - Consumer Markets Pricing Manulife Financial Sept. 2017 – Exp. Dec. 2017 Toronto • Standardized pricing models across health, dental, and travel products to eliminate need of per-product updates for repricing purposes • Revitalized travel pricing methodology using fundamental machine learning techniques to predict claim patterns and highlight risk factors Investment Consulting Analyst Mercer (Canada) Limited May 2017 – Aug. 2017 Toronto • Monitored quarterly performance of funds with a keen focus on past results in order to optimize asset allocation of institutional clients • Automated significant portion of daily data entry process with VBA Macros to half run time of asset reconciliation Pension Consulting Analyst Mercer (Canada) Limited Jan. 2016 – May. 2016 Toronto • Performed funding valuation to determine updated liabili- ties resulting in savings of $100,000 annually • Linearized single benefit and PSPA calculations with the creation of an Excel-based calculator to reduce manual calculations by 90% Lifeguard and Swim Instructor City of Toronto, YMCA, Toronto Pan. Am. Sports Centre Dec. 2012 – Jan. 2018 Toronto • Develop effective teaching methods for children and adults in order to improve swimming abilities STRENGTHS Systematic Problem Solving Detail Oriented Presentation Skills Collaborative Research R Statistical Analysis Spatio-temporal Models Bayesian Inference Supervised Learning
ALINMORARIU · ALINMORARIU Leveragingmodernstatisticalmethodstomakedata-drivendecisions [[email protected] Ó647-864-6852 ‰Toronto,CanadafiA-Morariu.github.io ⁄A-Morariu
Sep 21, 2020
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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
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