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Scientia potentia est
:electron:
Scientia potentia est
6 followers · 44 following

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Achievement: Arctic Code Vault Contributor

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Achievement: Arctic Code Vault Contributor

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andromeda0505/README.md

Hi there 👋

I am Mojtaba, an economist with expertise in microeconometrics and game theory, as well as a statistician and data scientist. I have previously worked as a Research Associate at the School of Public Policy, now I am a Senior Data Scietist at Canadian Tire Corporation. My research focus is on Causal Machine Learning, and I enjoy exploring various areas of theoretical and applied statistics, particularly within the tech industry. My interests include the interrelationships between A/B testing, causal inference, and predictive analysis, using AI techniques such as machine learning, deep learning, and traditional time series forecasting. Additionally, I am interested in complex network systems and online platforms.

  • 👯 I'm looking to collaborate with like-minded individuals and learn from diverse perspectives.
  • ✨ I love to play chess, card games, swimming and love cooking.

Find out more about me & feel free to connect with me here:

Linkedin Badge Gmail Badge Twitter

⚡ Technologies

Shell Script LaTeX Markdown Python HTML5 PostgreSQL MySQL Amazon AWS Git GitHub GitLab

⚡ Machine Learning & Deep Learning

Keras Matplotlib NumPy Pandas Plotly scikit-learn SciPy TensorFlow Bootstrap

⚡ OS

Android Linux Ubuntu Windows 11

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  1. Time-Series-Modeling-Techniques Time-Series-Modeling-Techniques Public

    Time series analysis is a statistical technique that is used to analyze and model time-based data. It involves identifying patterns, trends, and relationships in data that change over time, and usi…

    Jupyter Notebook 1

  2. Econometrics-methods Econometrics-methods Public

    Econometrics and causal inference plays an important role in technology, particularly in areas such as machine learning and artificial intelligence. In these fields, the goal is often to understand…

    Jupyter Notebook 1

  3. Deep-Learning Deep-Learning Public

    A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neura…

    Jupyter Notebook

  4. Machine-Learning-Projects- Machine-Learning-Projects- Public

    Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accur…

    Jupyter Notebook 1

  5. Meta-heuristic-Optimization Meta-heuristic-Optimization Public

    Metaheuristic optimization deals with optimization problems using metaheuristic algorithms. Optimization is essentially everywhere, from engineering design to economics and from holiday planning to…

    MATLAB 1 1

  6. Modeling-an-inventory-routing-problem-for-perishable-products Modeling-an-inventory-routing-problem-for-perishable-products Public

    A Python replication of an inventory routing problem article

    Jupyter Notebook 1