Mozh E.

Mozh E. Email and Phone Number

Experimentation Team Lead @ Canadian Tire Corporation
Calgary, AB, CA
Mozh E.'s Location
Calgary, Alberta, Canada, Canada
About Mozh E.

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

Mozh E.'s Current Company Details
Canadian Tire Corporation

Canadian Tire Corporation

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Experimentation Team Lead
Calgary, AB, CA
Website:
canadiantire.ca
Employees:
28657
Mozh E. Work Experience Details
  • Canadian Tire Corporation
    Experimentation Team Lead
    Canadian Tire Corporation
    Calgary, Ab, Ca
  • Canadian Tire Corporation
    Senior Data Scientist
    Canadian Tire Corporation Feb 2023 - Present
    Toronto, 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.
  • The School Of Public Policy
    Research Associate / Policy Analyst
    The School Of Public Policy Jul 2021 - Aug 2022
    Calgary, 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.
  • Haskayne School Of Business
    Applied Machine Learning Researcher
    Haskayne School Of Business Feb 2021 - Jul 2021
    Calgary, Alberta, Canada
    A 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
  • University Of Calgary
    Graduate Teaching Assistant
    University Of Calgary Apr 2017 - Apr 2021
    Calgary, Alberta, Canada
    - Advanced Game theory (Ph.D. level)- Advanced Microeconomics (Ph.D. level)- Industrial Organization (Grad level)- STATA lab instructor and applied statistics
  • University Of Calgary
    Graduate Research Assistant
    University Of Calgary May 2018 - Jul 2018
    Calgary, Alberta, Canada
    - Data cleaning, data manipulation
  • Parscoders - پارس‌کدرز
    Experimental Economist/Data Scientist
    Parscoders - پارس‌کدرز Aug 2019 - Sep 2020
    Remote
    - 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
  • University Of Calgary
    Graduate Research Assistant
    University Of Calgary May 2017 - Aug 2017
    Calgary, 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
  • University Of Calgary
    Graduate Teaching Assistant
    University Of Calgary Sep 2014 - Jul 2017
    Calgary, Alberta, Canada
    - Intermediate Microeconomics- Behavioral Economics- Principles of Microeconomics- Principle of Macroeconomics- Mathematics for economics- Intermediate Game theory
  • Savafarin Brokerage
    Quantitative Analyst
    Savafarin Brokerage Apr 2012 - Aug 2013
    Tehran 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.
  • Sharif University Of Technology
    Research And Policy Analyst
    Sharif University Of Technology Sep 2012 - Jun 2013
    Tehran, Iran
    - Worked with administrative data, Census Bureau demographic surveys, national households datasets,- Data cleaning- Institutional knowledge research and relevant literature review
  • Tsetmc
    Research Assistant
    Tsetmc Jun 2008 - Dec 2010
    Tehran 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

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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