I am a full-stack data scientist working on end-to-end data science projects with an academic background in Computer Science and minor in Mathematics.
Im my professional experience, I have worked on end-to-end machine learning projects that involved Data Analysis, Data Visualization, Data Modeling, Machine Learning, Behavior Analytics and Data Engineering problems to deliver solutions to various business problems such as Anomaly Detection, Network Analysis and Credit Scoring.
I am currently working at Wise. I love working on analytics projects and implementing data science methodologies to real-world problems.
✅ Programming: Python (Numpy, Pandas, SKLearn, Matplotlib, Bokeh, Seaborn), C++, Dart, SQL
✅ Big Data Tools & Frameworks: Impala, ETL data pipelines, AWS (EC2, S3, Lambda, Athena, Quicksight)
✅ VCS, DevOps & Misc Tools: VSCode, PyCharm, Git, Jira, Docker
✅ Statistics: Inferential Statistics, Experimental Design, Hypothesis Testing (A/B Testing), Regression Analysis
✅ Machine Learning: Regression Modeling, Random Forest, XGBoost, kNN Classifier, K-means Clustering, Feature Extraction (PCA, Factor Analysis)
✅ Business Domain Expertise: Fraud Detection, Credit Scoring, Fincrime, Fintech
Personal blog: https://bkoseoglu.github.io
Medium link: https://medium.com/@koseoglubaran
Google scholar: https://scholar.google.com/citations?user=Jb-vD9YAAAAJ&hl=en&oi=ao