IBM, Stanford University and Massachusetts Institute of Technology certified professional in Data Science and Machine Learning with advance Java, Python, R and Machine Learning expertise and experiences.
Data Wrangling: Numpy, Scipy, Pandas,
Visualisation: Matplotlib, Seaborn, Plotly,
Machine Learning: SciKit-Learn, Tensorflow
Deep Learning: Tensorflow, Keras
Machine Learning Algorithms: Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, kNN, Random Forest, Neural Networks, Deep Neural Networks
Document: Jupyter Notebook, R Markdown
Data Science: Problem identification, Data mining, Data cleaning, Exploratory analysis, Feature engineering, Modelling, Model analysis
Software Development: Prototyping
Dilek Celik is coming from Computer Science and Educational Technologies background. She received her bachelor's degree in Computer and Educational Technologies Teaching in 2010. After productive college education, she received a highly prestigious scholarship to study MA and PhD in abroad. She studied to master her English skills in Los Angeles for a year. She earned her master degree from San Francisco State University in the field of Educational Technologies in 2014. She is very enthusiastic about Machine Learning, Software Engineering, Educational Technology and Entrepreneurship. Her passion for creating new educational technology tools for digital natives drove her to research more about Educational Software Development. During her master education, she joined various startup and technology events in Silicon Valley. She is currently a PhD Candidate in the Computer Science and Information Systems Department of Birkbeck, University of London. In her PhD, she studies "Designing Software for Learning Design".
Teaching Assistant, University College London
Programming I (Java)
Programming II (Java)
Foundations of Machine Learning and Data Science
Teaching Assistant, Birkbeck College, University of London
Machine Learning, Data Science, Learning Analytics, Technology-enhanced Learning