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👋 ANGEL, HERE! 👋

I am a mathematics student currently studying at Universitas Indonesia. Thinking critically with innovative ideas are my expertise. Using my abilities to analyze complex systems and data to find a solution to the problems. But from all of that, I want to keep learning to get more knowledge and experience so I can be better. Also very interested in establishing my own startup to build a successful business.

Interested in ...
Data Analyst | Data Science | Software Engineer | Machine Learning | Deep Learning

🛠 THINGS I'VE USED 🛠

Languages & Tools

Python Swift MySQL Microsoft Office JavaScript HTML CSS R LaTeX Octave

Machine Learning & Deep Learning

Keras Matplotlib NumPy Pandas Scikit Learn Scipy TensorFlow OpenCV

📈 STATISTIC 📉


📩 REACH ME OUT 📩

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Angelica Patricia's Projects

angels-blog icon angels-blog

The Daily Life About an Angel | This website is a blog that discusses three kinds of interest of an Angel: Programming, Self-Development, and Financial.

bmi-calculator icon bmi-calculator

Make an iOS application that can calculate the BMI of a person based on their weight and height. Then, saved it as a history so they can monitor their BMI.

credit-card-risk-classification icon credit-card-risk-classification

Credit scoring which helps in evaluating the repayment ability of potential borrowers is one of the most important issues for lending or loan business. This study will compare the performance of the three models including Decision Tree, Logistic Regression, and Support Vector Machine.

heart-attack-prediction icon heart-attack-prediction

Make the best model to predict heart attack for patients using machine learning. Three types of models are used: Logistic Regression, Support Vector Machines, Decision Tree and the results will be compared the accuracy and F1-score to determine the best model.

iris-data-multi-logistic-regression icon iris-data-multi-logistic-regression

Given a dataset with data on the size of the sepals (petals) and the size of the petals (corolla) of 150 irises consisting of three species, namely Iris setosa, Iris versicolor, and Iris virginica. Petal size will be used as a measure of flower classification using multinomial logistic regression.

linear-regression-artificial-data icon linear-regression-artificial-data

Create 20 linearly correlated artificial data then visualize it and calculate the coefficient and the intercept values also evaluate the RMSE.

mushroom-characteristic-classification icon mushroom-characteristic-classification

Create a deep neural network to perform the process classification of mushrooms characteristic and using hyperparameter tuning to get the best model. Then, do analysis on accuracy, precision, recall and, f1-score of the model and also determine the features that are strongly suspected of being related with toxics of a mushroom.

positivity-rate-multivariate-regression icon positivity-rate-multivariate-regression

In 2022, the COVID-19 pandemic has started to subside. Many people carry out normal activities, as if this virus was gone. However, people's activities and mobility, especially in the Indonesian region, still depend on the number of COVID-19 considering that there are still policies that must be obeyed to prevent an increase in the virus.

restaurant-queue-theory icon restaurant-queue-theory

Improve the effectiveness of the time it takes from the time the restaurant opens the order hours until all the customers take their orders. In addition, the purpose of this report is to fulfill the final project of the "Data Structure" course.

retinopathy-classification-cnn icon retinopathy-classification-cnn

Detecting Retinopathy of Prematurity Disease in Premature Baby Based on Fundus Image Data with CNN Model using VGG19's Architecture.

risk-heart-disease-prediction icon risk-heart-disease-prediction

Make the best deep neural network model with hypertuning to carry out the classification process of detecting people having or not having heart disease. Then, do analysis on accuracy, precision, recall and, f1-score of the model.

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