Climbing Generation and Classification

(Pytorch, Transformers, Docker)

Classifying climbs using deep learning and a Markov Chain algorithm for climb generation.

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Stock Predictions w/ NYT Articles

(NLP, APIs, Airflow, Spark, Time Series, GCP)

Used NLP, sentiment analysis of article text, and time series analysis to predict next week’s stock price.

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Netflix Homepage A/B testing

(A/B Testing, Python, Statistics)

A/B testing Netflix's homepage design using four different experimental factors.

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National Park Biodiversity

(SQL, Interactive Dashboards)

Case study on maximizing conservation efforts in National Parks with Tableau.

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Survival Prediction

(ML, Model Tuning, Feature Engineering)

Predicting survivors of a fictional spaceship using ensemble modeling.

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Bird Image Classifier

(CNN, Model Deployment, Pytorch)

Creating a custom bird classifier using a CNN and deploying on streamlit.

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