Dilek Celik

Dilek Celik is a certified professional in Data Science and Machine Learning, holding certifications from IBM, Stanford University, and Massachusetts Institute of Technology. With a strong expertise in Java, Python, and R, Dilek has excelled in various programming languages including HTML, CSS, JavaScript, and more.

Specializing in Data Science, Dilek is proficient in data wrangling using tools like Numpy, Scipy, and Pandas. Their visualization skills extend to platforms such as Matplotlib, Seaborn, and Plotly. When it comes to Machine Learning, Dilek is well-versed in SciKit-Learn, Tensorflow, and Deep Learning frameworks like Keras.

Dilek Celik has a deep understanding of various Machine Learning algorithms such as Linear Regression, Logistic Regression, Decision Trees, SVM, and Neural Networks. They are adept at document handling with tools like Jupyter Notebook and R Markdown. Moreover, Dilek's expertise in Data Science spans from problem identification to model deployment using Flask.

In their educational journey, Dilek has studied a diverse range of subjects spanning from a Master's in English at ELS Language Center, Santa Monica, to a PhD in Computer Science and Information Systems focusing on Python and Java at Birkbeck, University of London. They have also garnered certificates in Data Science from IBM and Machine Learning from Stanford University.

Currently serving as a Lecturer (Assistant Professor) at Northumbria, Dilek has had previous roles as a Research Associate at Knowledge Media Institute, Teaching Assistant at UCL and Birkbeck, University of London, and IT Operations Assistant at San Francisco State University. They have also contributed as a Trainer (Intern) at Ege University.

Research-wise, Dilek Celik's interests lie in Machine Learning, Data Science, Learning Analytics, and Technology-enhanced Learning. Their comprehensive skill set encompasses a keen focus on problem-solving, data analysis, modeling, and software development practices like AGILE and Test-Driven Development.