Keyla Rindani
On My Journey to Become a Data Scientist
Growing through data, one project at a time
On My Journey to Become a Data Scientist
Growing through data, one project at a time
I’m a fifth-semester Data Science student at BINUS University with a growing passion for data analysis, machine learning, and visualization. Beyond academics, I’ve developed strong leadership, communication, and teamwork skills through my role as Publication & Marketing Manager at HIMTI BINUS and several public speaking experiences as an MC. I enjoy learning how data can tell stories and drive meaningful decisions, and I’m eager to keep growing while contributing to real-world projects as a Data Analyst or Data Scientist.
Machine learning model to predict lung cancer risk using patient data and medical history. Achieved 94% accuracy using ensemble methods.
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Predictive analytics to identify customers at risk of churning. Implemented feature engineering and model optimization techniques.
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Deep learning model using convolutional neural networks to remove noise from images. Implemented autoencoder architecture.
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Time series analysis and forecasting of air quality metrics using LSTM networks. Provides predictions for pollution levels.
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Generative Adversarial Networks (GANs) to create synthetic images. Explored various GAN architectures and training techniques.
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Relevant Coursework: Artificial Intelligence, Basic Statistic, Big Data Infrastructure and Technology, Data Management and Organization, Data Mining and Visualization, Database Technology, Deep Learning, Machine Learning, Model Deployment, Scientific Computing, Survey and Sampling Methods, Text Mining
SMA Plus Pembangunan Jaya
I'm always excited to collaborate on data science projects or discuss new opportunities. Feel free to reach out!