Kyle Dufrane
About Kyle Dufrane
Kyle Dufrane is a Data Science Fellow at SharpestMinds and a Data Science Specialist at Flatiron School, with a background in various technical roles and expertise in data science and programming.
Work at SharpestMinds
Kyle Dufrane has been serving as a Data Science Fellow at SharpestMinds since 2022. In this role, he engages in various data science projects, applying his skills to real-world problems. His work is conducted remotely, allowing him to collaborate with diverse teams and contribute to the organization's mission of mentoring aspiring data scientists.
Current Role at Flatiron School
Since 2021, Kyle has held the position of Data Science Specialist at Flatiron School. In this capacity, he leverages his data science expertise to support students and enhance their learning experiences. His role involves providing guidance and resources to help students develop their skills in data analysis and machine learning.
Professional Background
Kyle Dufrane has a diverse professional background in various technical roles. He worked as a Project Supervisor at Day Automation from 2016 to 2020, overseeing project execution in Watertown, New York. Prior to that, he served as a Service Technician at Advanced Control Corporation for one year and as a Security Technician at Control Technologies Inc for one year. His experience also includes a role as a Systems Integration & Network Specialist at LONG Building Technologies and as a Service/Install Technician at ESC - Environmental Systems Corporation.
Education and Expertise
Kyle studied at Flatiron School, where he completed an Immersive Data Science Bootcamp in 2021, focusing on data science principles and practices. He also earned a Computer Vision Nanodegree from Udacity in 2021. His technical expertise includes Python web scraping using tools like BeautifulSoup, urllib, and requests, as well as utilizing Google Cloud Platform tools such as BigQuery and Dataprep.
Projects and Contributions
Kyle has been involved in several notable projects, including the 'Tanzanian Water Well Classification' and 'NHL Salary Prediction'. He has developed models to address regression and classification tasks, collaborating with the CTO of a startup. Additionally, he authored a blog post titled 'Learning to Rank with TensorFlow Ranking', showcasing his knowledge in machine learning techniques.