🏆 Ph.D.-Level Data Scientist and Project Manager.
I am a Ph.D.-level data scientist, technical author, and project manager with more than seven years of experience. With a consulting background, I am always punctual, an excellent communicator, and diligent with my work. I actively work with the World Bank Group, am a Top Writer in Artificial Intelligence on Medium (see oyalcin.medium.com), and published a technical book with Apress (see apress.com/gp/book/9781484265123). With an extensive background in different fields, including law, entrepreneurship, finance, and artificial intelligence, I have domain knowledge in various areas. You can find some of the topics that I am experienced in:
DATA SCIENCE
- Storytelling with data in English & Turkish
- Data Analytics with Python (pandas, NumPy), R, Javascript (danfo), Excel
- Clean data, extract features, and apply NLP techniques using NLTK, SparkSQL, pandas, NumPy, or Excel;
- Scientific calculation with Scipy (e.g., fit functions, mathematical operations)
- Dealing with Big Data using parallel processing and Spark
DATA VISUALIZATION
- Data Visualization with Plotly, Plotly.js, Matplotlib, Seaborn, D3.js, ggplot2;
- Map Generation with Leaflet and MapBox;
- Dashboard Development with Plotly Dash (Flask, React, Bootstrap)
MACHINE LEARNING and ARTIFICIAL INTELLIGENCE
- Building and training traditional machine learning models using Scikit Learn and Spark Python
- Building and training deep learning models in a wide variety of areas NLP, computer vision, predictive analytics, image generation, sentiment analysis, and image captioning
- Building any Deep Learning models for Supervised, Semi-supervised, and Unsupervised learning tasks, including ANNs, CNNs, RNNs, Transformers, GANs, Autoencoders, and more
- Building models using Transfer Learning and fine-tuning
TECHNICAL WRITER
- Writing technical reviews about a product.
- Writing tutorials for well-known technologies such as TensorFlow, pandas, Plotly, Dash, - Flask, and more.
CONSULTING, TUTORING, AND TRAINING
- Providing consulting, tutoring, and training in fundamental data-related subjects such as programming (e.g., Python, Javascript), machine learning concepts (e.g., CNNs, RNNs, GANs), machine learning libraries (e.g., pandas, TensorFlow, PyTorch, Scikit Learn, Plotly, Dash), and more.