Transforming Data in Strategic Decisions with Machine Learning and Deep Learning
Passionate with complex problem solving in data science. Specialist in Python, pandas, numpy, matplotlib, scikit-learn, TensorFlow, pytorch, etc. Currently adding new personal projects to the portfolio.
Personal project: Using a Kaggle competition dataset: predict whether a client will subscribe to a bank term deposit.
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Academic Project: This project use image about forest and fire forest, the main objective was classify the images using the labels of fire and not fiere using a neural network.
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Project: TA content-based hybrid recommendation system for Korean dramas using semantic embeddings, metadata, and similarity search.
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Graduation project: The objective is to detect and classify emotions such as happiness, anger, disgust, fear, sadness, and surprise in older adult participants, using classical machine learning models and specialized preprocessing techniques.
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