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Achievement: Pull Shark

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Achievement: Pull Shark

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a-memme/README.md

Data Scientist

  • 🌱 Always exploring the world of data science
  • 👀 Currently working on an array of projects with relatively different focuses - feel free to reach out if any are of interest! Some current projects involve:
    • Matrix completion (including recommendation engines) in multiple industries (AdTech and mental health)
    • Building, formulating and solving deterministic optimization problems
    • LTV modeling and user segmentation (email marketing)
  • 🍳 Ask me about food! I'm also a Chef, classically trained in French and Italian cuisine.

Connect:

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Languages and Tools:

Python R JavaScript HTML5 CSS3 Markdown

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  1. arlington_crime_density arlington_crime_density Public

    Exploration, analysis and forecasting of crime density in Arlington VA from 2016-2024

    Jupyter Notebook 1

  2. Customer_Churn_and_CLTV Customer_Churn_and_CLTV Public

    BG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business

    Jupyter Notebook 4 1

  3. Text_Analysis_Reddit Text_Analysis_Reddit Public

    Tokenization/Lemmatization vs keyBERT algorithms to analyze keywords and infer top performing topics on a subreddit of choice. Data is accessed via Python Reddit API Wrapper (PRAW).

    Jupyter Notebook

  4. matrix_completion_mental_health matrix_completion_mental_health Public

    Exploring the suitability of low-rank approximation vs leading imputation methods for predicting missing data in self-report mental health measures.

    Jupyter Notebook

  5. Credit_Risk_Analysis Credit_Risk_Analysis Public

    Comparing sampling techniques and classification algorithms to predict credit risk

    Jupyter Notebook 1

  6. snap_dynamic_scheduling snap_dynamic_scheduling Public

    Auto-ARIMA timeseries forecasting in combination with PELT changepoint detection to predict social media viewership performance and identify major changes in performance trends. Models are deployed…

    Python 1