Suelem Lee


"I'm a Data Scientist with a intercultural background in Business, UX Research and Design. My passion is exploring social economics, statistics and data visualization, to find out how data can be used for social good."
Areas of interest

NLP
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I've worked with NLP from wescrapping, pre-processing, modeling, classification and predictions.
Making sense of how humans communicate and interact with each other.

Data analytics
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Get more value from your data with prediction models and machine learning techniques to uncover connections in combinations of diverse data, leveraging distributed D&A for dynamic insights.

Machine Learning
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Deploying machine learning models in real world productions. Supervised and Unsupervised Learning algorithms, grounded in solid Math and Statistics.
ML is much more than an API call and scikit-learn
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My Latest Projects
Correlation between Anxiety and Diabetes subreddit
This project illustrates the correlation between anxiety and diabetes, which reported at the Review of the Association of Diabetes paper is analysed and confirmed to be also reflected on subreddits posts.
Anxiety degree classification and Chatbot
From anxiety subreddit we classified posts into varying degrees of anxieties and provided tailored messages to address anxiety levels with a Chatbot response system.
Twitter Message Disaster Classifier System
This app classifies your message as a tool for disaster management when required disciplinary measures and fast decision-making during emergencies. The app classifies what type of disaster it is and provides cautionary information.
Chronic Kidney Disease Prediction
Develop a medical diagnosis test that reduces both the number of false positives and the number of false negatives in Chronic Kidney Disease prediction.

Predicting dish's cuisine with ingredients
Looking at meal ingredient data, we are looking to effectively predict the category of a dish's cuisine given a new list of ingredients.
Bank Data Conversion Analysis
Exploratory Data Analysis and Conversion predictions using Logistic Regression and KNN.
Contact

Please feel free to contact me for any questions. For open source projects, please open an issue or pull request on GitHub. Otherwise send me a message at