A Data Scientist with background in mathematics, highly motivated and passionate individual with a keen interest in Data Science, Machine Learning, Deep Learning, and Artificial Intelligence. Through my academic and professional experiences, I have developed strong skills in programming, data analysis, and problem-solving. On this Github profile, you will find a collection of my projects and contributions, which showcase my expertise and passion for data science.
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๐ฎ Time Series Forecasting for the number of store transactions - EDA, time-series analyis, trend, seasonality and stationarity analysis and forecasting. (In progress...)
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๐ธ Credit-scorecard Development - Credit scorecard development for bank loan approval. Includes data analysis, data visualization, feature selection and feature engineering, and model evaluation with Gini coefficient.
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๐ง Genuine_Posed_EmotionRecognition - Master Thesis project to identify real and fake emotions in videos.
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๐ Stanford Car Classification Classify the Stanford Cars Dataset using Deep Learning models.
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๐ Deepfood - A deep learning model to classify food images with CNNs (EfficientNet-V2).
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๐ค Deep learning emotion recognition - A deep learning model to classify emotions in images with CNNs.
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โ๏ธ Machine learning survey - A survey of machine learning papers.
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๐ Predict Churn Customer - A project to predict churn customer in Telco company with Machine Learning, Classification models. Includes data analysis, data visualization, feature selection, and model evaluation and comparison.
