Glad you are here! As you explore my site, you will find a mix of my projects and blogs.
I a dedicated and passionate data scientist currently pursuing my Master of Business Analytics at the MIT Sloan. I enjoyed all the projects I have worked on while becoming a data scientist. What I love the most about this career is how I can consistently learn from different fields, anywhere from auto insurance to furniture sales. So I am always curious and excited about my next project!
My full list of projects can be found here: GitHub Feel free to reach out via email at nuobeiz@mit.edu or connect with me on LinkedIn
I am currently pursuing my Master of Business Analytics at the MIT Sloan.
With a solid foundation in data science from the University of Michigan, Ann Arbor, where I graduated as a James B. Angell Scholar with a 3.9 GPA, I have honed my skills in machine learning, optimization, and statistical analysis. At MIT, my coursework includes optimization, machine learning, and product analytics, complemented by hands-on projects where I have utilized XGBoost, Random Forest, and Julia to devise dynamic pricing strategies and optimize market decisions.
My professional experience spans across various industries, including a capstone project with Disney where I extracted market insights from book sales data to aid decision-making in publishing. At CMA-CGM, I developed an AI Email Assistant tool that dramatically improved productivity for customer agents, resulting in significant cost savings. My internship at Capital One involved evaluating the company's auto loan portfolio, where I developed strategic recommendations to enhance profitability and control risk.
Before my academic and professional journey in data science, I served in the US Army as a CBRN Specialist, where I led teams in decontamination missions and field exercises.
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