I graduated from Haverford College with a B.S. in Mathematics and am currently pursuing a master’s in Information Science at Cornell. My focus is how to use AI to deliver information more accurately. Currently, I am a research assistant at Cornell, where we fine-tuned LLMs to define local news bias, and an AI engineer at Weill Cornell Medicine, where we developed novelty models to verify human identity using cough sounds. My works have been accepted to multiple conferences. Before Cornell, I worked as a data analyst and product manager in Silicon Valley.

I’m looking to connect with people who have a strong technical background in AI and have a deep understanding in UX research and community building. I'm deeply interested in entrepreneurship and always exploring new opportunities and potential collaborators for future ventures.

I am currently working on an AI agent to make the user research process easier. I am currently building a smart survey generator.

Hi! I’m Danté Mienie, a recent Computer Science graduate from the University of Arizona, where I also minored in Statistics and Data Science. I love trying new things and learning more. I am especially curious and excited aboutthe intersection of tech, finance and AI. In my senior year, I worked with aresearch lab that created a medical case simulation web app that integrated AI to help medical students with different aspects such as suture analysis and patient-doctor practice.

Finance, quant, web development, AI, app development

I’m working on an FastAPI investor ai that gives suggestions on a couple of tickers to consider investing in and why based on the marked. I’m also building an IOS music social media app that I hope to publish to apple store soon.

I'm doing a PhD in Economics and a Data Scientist at Enerpact with over five years of experience in data analysis, econometrics, and applied machine learning. I hold a Master’s degree in Economics from the University of Houston. I have worked as a Data Consultant at NYU Abu Dhabi and a Data Analyst at IIM Bangalore. Skilled in Python, R, SQL. I'm passionate about continuous learning, actively develops projects that blend econometrics and machine learning to drive innovation in economics.

Predictive modeling, data automation, econometrics, applied machine learning, statistical modeling, data visualization, Python, R, SQL

I'm working on side projects involving predictive modeling and data automation. I utilize Python, R, and machine learning techniques to develop these systems, focusing on econometrics and applied machine learning to generate actionable insights. I also work on statistical modeling and data visualization using tools like SQL and Tableau to support data-driven decision-making.