Summary
Nadide Karakulah is a data-focused software engineer and recent Computer Science graduate with an emphasis in Software Engineering, bringing 11 years of teaching and applied experience in Python, C/C++, and machine learning. She has hands-on experience instructing AP Computer Science, university algorithms and Python courses, and hands-on lab work in scikit-learn–based machine learning through a Data Science Lab. Comfortable in Linux and statistical tooling (NumPy, Pandas, SciPy, Jupyter), she translates complex analytical problems into actionable models and clear explanations for learners and decision makers alike. Nadide’s background in bioinformatics research and math education minor gives her a practical cross-disciplinary edge for feature engineering and communicating technical results to diverse audiences. Based in Little Rock, AR, she is seeking an entry-level data scientist role where her teaching-first approach and strong programming fundamentals can accelerate team learning and model delivery.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science; Emphasis in Software Engineering, Minor in Math Education, 3.8 GPA, Bachelor of Science - BS, Computer Science; Emphasis in Software Engineering, Minor in Math Education, 3.8 GPA at North American University (NAU)
English, Turkish