Ethan Haley

Ethan Haley is a Machine Learning Data Analyst known for his expertise in gathering, cleaning, structuring, exploring, visualizing, and deriving insights from data. With a focus on efficiency, robustness, and profitability, Ethan excels in solving complex problems by dissecting goals, evaluating them, and analyzing them from unique perspectives. He values collaboration and enjoys sharing knowledge with others.

Ethan's experience includes querying multiple APIs, analyzing extensive review data, identifying predictive features, and designing accuracy metrics for recommendations. He has a knack for choosing appropriate modeling techniques for different scenarios. His AI agent for the 'Knights Isolation' game placed in the top 5 worldwide in an AI tournament, highlighting his skills in algorithm design and implementation.

Beyond data analysis, Ethan appreciates the impact of compelling visualizations and storytelling. He has a diverse skill set, having composed and performed music for his wedding ceremony and residing in various parts of Spain. Ethan's passions extend to cooking and snowboarding, making him a versatile individual.

Ethan's technical expertise covers languages such as Python, SQL, and Swift. He is proficient in machine learning techniques including supervised and unsupervised learning, neural networks, and deep learning frameworks like TensorFlow and Keras. Additionally, Ethan is well-versed in a variety of algorithms, including search algorithms, sorting techniques, clustering methods, and dynamic programming. His educational background includes studies in Data Science and Music Theory at renowned institutions like Springboard and Harvard University, respectively.

Ethan holds nanodegrees and specializations in Data Science, Algorithm Design, Machine Learning, and Computer Vision from platforms like Coursera and Udacity. Prior to his data-focused role, he gained experience as a Commodities Options Trader at OMOG.

Reach out to Ethan Haley at ebhtra@gmail.com to connect and collaborate on projects related to data analysis, machine learning, and algorithm design.