I am a final year PhD candidate at Chicago Booth, specializing in the intersection of data science, machine learning, causal inference, and operations research. With 7+ years of hands-on experience, I have led 6+ interdisciplinary projects, collaborating with 15+ stakeholders across 8 diverse industries. My educational background, which includes an MBA alongside my Ph.D., has refined my ability to translate complex scientific insights into practical, actionable business solutions.

My professional experience includes transformative internships at Amazon and Google (2022 & 2023). In these roles as a data and research scientist, I engaged in cross-functional collaborations and resolved non-routine analysis problems with a high level of ambiguity.  These experiences have further strengthened my expertise in navigating complex real-world challenges.

Beyond the academic sphere, my passion for global engagement has taken me to diverse corners of the world, including Madagascar, Myanmar, Cambodia, Turkey, and Singapore. My volunteering experiences honed my communication and presentation skills, enabling me to connect effectively with people from diverse backgrounds.

As an avid solo traveler, I have explored almost 50 countries and all 7 continents. These adventures have equipped me with invaluable insights, fostering global thinking, open-mindedness, creative problem-solving, and enhanced communication abilities.

As I prepare to graduate in Summer 2024, I am actively on the lookout for roles as a data scientist, research scientist, applied scientist, or ML engineer. My mission is to leverage my extensive expertise in data science, machine learning, causal inference, and operations research to make a profound impact in the industry.

I invite you to connect with me on LinkedIn or via email at gtuzcuog[at]chicagobooth[dot]edu to explore potential collaborations or discuss opportunities further.

You can learn more about my background by clicking on my resume on the right-hand side.