Mozh E. Email and Phone Number
My interests include topics in machine learning, optimization, recommender systems, micro- econometrics, game theory, causal inference, algorithmic pricing, and experimental design. I use methods and models from theoretical computer science, economics, statistics, and related disciplines to examine problems in the tech areas. I have a strong focus on statistical techniques and often participate in empirical and experimental projects, such as ML-based econometrics, causal inference, and experiments on strategic and economic interactions in complex networks. I am particularly interested in merging causal inference methods in observational studies, predictive machine learning algorithms, and in A/B testing on online platforms. Current Interests:Matrix Completion Algorithms Experimentation & ML-based A/B testingCausal/counterfactual estimationAlgorithmic EconomicsStatistical machine learningOnline marketplaces & platforms Recommender enginesRanking algorithmsAlgorithmic pricingProgrammatic adsCausality on Conformal predictionWorking knowledge of:• Theoretical modeling• Predictive techniques, classifier systems, & ML algorithms• Causal inference methods: IV, regression discontinuity, kinked design, bunching & notching, diff-in-diff, demand estimation, discrete choice model, dynamic programming, survival analysis, DAGs, synthetic controls, propensity scores, DML, Causal Forest, LATE, MTE, HTE (CATE, GATE, RATE, ..)• RCT, A/B/n testing, Power analysis, SRM, interference issues• Time series: Fourier transformation, signal processing, Kalman filtering, SARIMA, & GARCH, VAR, Cointegration, Unit-root, AIC & BIC criteria. • Python (Numpy, Scipy, Pandas, Matplotlib, Networkx, Scikitlearn,), SQL, MATLAB, STATA, LaTeX, Airflow, Bitbucket and Git version control, familiar with Linux & Bash scripting on HPC• Big Data: PySpark, Hadoop, BigQuery• Complex networks & spectral graph theory• Game theory, mechanism design, & auctions• Mathematics, convex & nonlinear optimization, Heuristics methods, statistics, Bayesian learning & reinforcement learningHobbies: I enjoy reading scientific articles mainly on technology, social psychology, behavioral economics, cognitive science, even on quantum gravity! I love playing Chess, Backgammon, Go, and card games like Bridge, Hokm, and Spade. I am an avid fan of donghua, anime and hanguk aeni! I love nature, but I strive to respect it by minimizing my impact. To that end, I try to stay within city limits as much as possible and avoid disturbing wildlife. More?! I am on X @ mozh7es
Canadian Tire Corporation
View- Website:
- canadiantire.ca
- Employees:
- 28657
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Experimentation Team LeadCanadian Tire CorporationCalgary, Ab, Ca -
Senior Data ScientistCanadian Tire Corporation Feb 2023 - PresentToronto, Ontario, Canada- A/B testing, data engineering, production, and pipeline on Google BigQuery, GCP, GSP and Data Lake- Online experimentation and causal inference- Personalization and recommendation system for loyalty and reward program (Algorithmic recommendations; customized Hybrid LightFM, ASL, WSL, algorithms)- Designed reinforcement learning-based weights adjustments for the recommendation engine- Heterogeneous treatment effect and causal machine learning- Metric designer and experiment quality auditor (checking models' validity assumptions, variance reductions, SRM tests, balance checks, A/A testing, scorecard design, etc)- Product owner: Loyalty Experiment Platform(LEP)- Enhanced RecoEngine features with reinforcement learning-based category weightings. -
Research Associate / Policy AnalystThe School Of Public Policy Jul 2021 - Aug 2022Calgary, Alberta, Canada- Natural Language Processing (NLP) and sentiment analysis as a sub-project for controversy mapping in the food industry- Discrete Choice Models (Multinomial logit estimation, Mixed logit estimation )- Research and policy evaluation- Web scraping & data mining - Twitter data analysis- Cleaning unstructured data- Data visualization- System Dynamic Modeling - The effect of dynamic pricing via electronic shelf labels on the reduction of food waste in stores via triple DDD causal inference method. -
Applied Machine Learning ResearcherHaskayne School Of Business Feb 2021 - Jul 2021Calgary, Alberta, CanadaA university-government-industry(start-up) collaboration-funded project.- Positional Ranking DeBiasing- Developing a causal machine learning-based method for a research project on managing customer expectations for an online gig economy platform operator. - Conducting numerical and statistical analysis- Defining two-sided market's specific metrics for balancing each side and enhancing the market thickness.- Backend AB testing: recommended and minimum reserve price auction- Designing behavioral nudges for different services based on defaulting, anchoring, social proof, and friction costs -
Graduate Teaching AssistantUniversity Of Calgary Apr 2017 - Apr 2021Calgary, Alberta, Canada- Advanced Game theory (Ph.D. level)- Advanced Microeconomics (Ph.D. level)- Industrial Organization (Grad level)- STATA lab instructor and applied statistics -
Graduate Research AssistantUniversity Of Calgary May 2018 - Jul 2018Calgary, Alberta, Canada- Data cleaning, data manipulation -
Experimental Economist/Data ScientistParscoders - پارسکدرز Aug 2019 - Sep 2020Remote- Designed experiments on online user engagements.- Worked on a predictive analysis of the relative customer retention/churn rate of different marketing channels in a two-sided online market platform. - Marketing Mix Model on the online/offline marketing channels - Consulted on price floor setting for online auctions to transition from a 2nd-price online auction system to a 1st-price online auction scheme. - Computational/programmatic advertising to increase ad relevancy and enhance publisher-advertisers matching performance.- Designed A/B testing (control-treatment experiment) - Cohort Analysis- Data analysis- Paywall pricing, bundling strategies, and demand estimation -
Graduate Research AssistantUniversity Of Calgary May 2017 - Aug 2017Calgary, Alberta, Canada- Literature review on Open Source Software(OSS) field - Data gathering via SQL queries from the sourceforge.net repository- Network data visualization, spectral analysis and modeling -
Graduate Teaching AssistantUniversity Of Calgary Sep 2014 - Jul 2017Calgary, Alberta, Canada- Intermediate Microeconomics- Behavioral Economics- Principles of Microeconomics- Principle of Macroeconomics- Mathematics for economics- Intermediate Game theory -
Quantitative AnalystSavafarin Brokerage Apr 2012 - Aug 2013Tehran Province, Iran- Future Market analyst- Fundamental analyst - Risk evaluator (value at risk, expected shortfall, market risks, and sectors' risk)- Portfolio optimization (based on estimated & implied associated risks)- Autoregressive conditional heteroskedasticity models (GARCH) etc. -
Research And Policy AnalystSharif University Of Technology Sep 2012 - Jun 2013Tehran, Iran- Worked with administrative data, Census Bureau demographic surveys, national households datasets,- Data cleaning- Institutional knowledge research and relevant literature review -
Research AssistantTsetmc Jun 2008 - Dec 2010Tehran Province, Iran- Tehran Stock Exchange > TSETMC.ir > Codal.ir > Stock Market Technologist (فن آوران بازار سرمایه)- Feasibility Analysis - Developing an XBRL platform for Tehran Stock Exchange- امکانسنجی و پیادهسازی زبان گزارشگری تجاری گسترشپذیر (XBRL) در بازار سرمایه
Mozh E. Education Details
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Economics -
Finance -
Mathematics And Computer Science -
Biomedical/Medical Engineering
Frequently Asked Questions about Mozh E.
What company does Mozh E. work for?
Mozh E. works for Canadian Tire Corporation
What is Mozh E.'s role at the current company?
Mozh E.'s current role is Experimentation Team Lead.
What schools did Mozh E. attend?
Mozh E. attended University Of Calgary, Sharif University Of Technology, Amirkabir University Of Technology - Tehran Polytechnic, Amirkabir University Of Technology - Tehran Polytechnic.
Who are Mozh E.'s colleagues?
Mozh E.'s colleagues are Hardi Abdul-Razak, Haley Hughes, Rean Itaru, Jenn Lynn, Garret Evenson, Craig Lefevre, America Diaz.
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