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Case Studies
Our footprint spans every industry, and we empower each one to use data smarter, faster, and better.
Social Listening: Utilize Clustering to decode Mental Health Communities
Assisted a mental health app with exploring mental health subreddits via identifying patterns and classifying content in Subreddits such as r/BPD, r/Anxiety, and r/depression.
Non Profit: Predict Donor Behavior with Machine Learning
An application of logistic regression at a hypothetical cancer foundation. By analyzing donor data, the foundation can predict donation probabilities, segment donors, and tailor outreach strategies effectively.
Tech Startup: Build Machine Learning Models on Imbalanced Datasets
Helping a tech startup with various strategies to address imbalanced datasets in their CRM, including algorithm-level solutions, and advanced methods like generative adversarial networks (GANs).
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