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.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent