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obatbayar1/README.md

Hi 👋 My name is Oyundari!

🎓 Educational Journey: I'm a proud UC Berkeley alum with a Bachelor's degree in Econometrics and Quantitative Economics. Currently, I'm pursuing a Master's degree at McGill University, focusing on enterprise data management and machine learning.

🌐 Professional Path: My career has taken me through organizations like the Swiss Agency for Development and Cooperation, KPMG, and TechSoup Global. In these roles, I've embraced data analytics and leadership, transforming complex theories into actionable, innovative strategies.

🛠️ Technical Toolbox: Skilled in advanced econometrics models and data science algorithms.

🌟 Beyond the Screen: When I'm not analyzing data, I'm deeply involved in mentoring youth and volunteering at children's centers. Volleyball keeps me active, and poetry offers a reflective escape.

  • 🌍 I'm based in Montréal
  • ✉️ You can contact me at [email protected]
  • ⚡ "Bicycle Thieves" by Vittorio De Sica is the best movie ever, change my mind.

Skills

Python R MySQL

pandas pytorch scikit_learn seaborn tensorflow

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  1. Diversity_HR_metrics_promotion_modeling Diversity_HR_metrics_promotion_modeling Public

    Here is my senior honors thesis submitted and published on the University of California Berkeley, Department of Economics webpage. It utilizes text data from CVs and other bibliometric measures.

    Python 2

  2. Job_description_classification Job_description_classification Public

    This project's objective is to deploy a model with Naive Bayes Classifier on job descriptions to predict above or below salary (based on threshold).

    Jupyter Notebook

  3. Team_Player_selection_via_optimization Team_Player_selection_via_optimization Public

    This project uses Gurobi to construct multi-objective models, discrete optimization models with Mixed-Integer Programming to asses football team player selections and evaluate coaching decisions.

    Jupyter Notebook 1

  4. Identifying_Email_Marketing_Effect_Using_Uber_CausalML Identifying_Email_Marketing_Effect_Using_Uber_CausalML Public

    This repository contains causal inference project using Uber's Causal ML.

    Jupyter Notebook 1

  5. Craigslist_price_prediction Craigslist_price_prediction Public

    This project develops predictive models to estimate the market value of used cars based on a range of features. By analyzing historical sales data, I seek to understand how various attributes, such…

    Jupyter Notebook