* Machine Learning, Deep learning, Transformers projects* Data preprocessing, advanced statistical analysis and hypothesis testing for machine learning and deep learning projects* Forecasting, classification, modeling and parameter tuning for time series* Document automated processes* ELK (ElasticSearch, Logstash, Kibana) for analysis, recording, management and presentation of unstructured data sets* Deployment processes with MLOps

* Apache Hadoop HDFS* Apache Hadoop YARN* Apache Hadoop Mapreduce* Apache Spark Streaming* Apache Kafka and Ecosystem* Basic Linux* Git Basic* ELK

Python Programming:* Workspace Configuration* Data Structures* Functions* Conditions & Loops* Comprehensions* Data Analysis with Python: NumPy* Data Analysis with Python: Pandas* Data Analysis with Python: Data Visualization*Data Analysis with Python: Advanced Functional Exploratory Data Analysis* CRM Analytics* RFM AnalyticsRecommendations Systems:*Association Rule LearningMeasurement Problems:* Rating Products*A/B TestingFeatures Engineering* Outliers* Missing Values* Encoding Scaling* Feature ExtractionMachine Learning:* Linear Regression* Logistic Regression* KNN (K-Nearest Neighbors)* CART (Classification and Regression Trees)* Advanced Tree Methods* Imbalanced Data Sets* Unsupervised Learning* Machine Learning Pipeline

Ege University Textile Factory Organization Data Science Project Study

Machine learning processes were carried out in the field of Biostatistics.* Probability theory* Hypothesis testing and confidence intervals* Resampling* Supervised Methods* Survival Analysis* Medical device qualification analysis