I'm a passionate and competitive student at Dickinson College, pursuing a double major in Data Analytics and Computer Science and a minor in Mathematics. My journey in college has equipped me with a strong foundation in quantitative analysis and programming, pushing me further into the exciting realms of Business Analytics and Data Science.

Currently, I'm immersed in fascinating research under the guidance of Prof. Eren Bilen, an Assistant Professor of Data Analytics at Dickinson College. My focus is on building an AI model that mimics the human-solving nature of Rubik's Cubes. This involves developing Artificial Neural Networks (ANNs) specifically for different stages of the solve, such as Cross, F2L, OLL, and PLL, by training them solely on human solve data without explicit mathematical calculations. This project combines my love for data-driven solutions with a challenging, real-world problem.

I'm always eager to learn and apply my skills to new challenges, constantly seeking opportunities to grow as a data professional.

• Description: Developing an AI model using Artificial Neural Networks (ANNs) to emulate human Rubik's cube solving strategies. The models are trained on human solve data to learn Cross, F2L, OLL, and PLL stages without explicit mathematical instructions.
• Technologies: Python, TensorFlow (implied by ANNs), Pandas, NumPy
• Focus: Machine Learning, Neural Networks, Data-driven modeling.

I'm currently diving deeper into advanced machine learning techniques, including deep learning and natural language processing.

I'm eager to collaborate on interesting Data Science and AI projects! Feel free to reach out.

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