- 🌱 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.
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arlington_crime_density
arlington_crime_density PublicExploration, analysis and forecasting of crime density in Arlington VA from 2016-2024
Jupyter Notebook 1
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Customer_Churn_and_CLTV
Customer_Churn_and_CLTV PublicBG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business
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Text_Analysis_Reddit
Text_Analysis_Reddit PublicTokenization/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
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revenue_prediction_imputation
revenue_prediction_imputation PublicRandom forest regression + ARIMA timeseries modeling to impute metric values and forecast revenue for reporting purposes.
SQL
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Credit_Risk_Analysis
Credit_Risk_Analysis PublicComparing sampling techniques and classification algorithms to predict credit risk
Jupyter Notebook 1
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snap_dynamic_scheduling
snap_dynamic_scheduling PublicAuto-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
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