Liana Principe

Liana Principe

Data Science | Machine Learning | Python | SQL | Tableau

Role
Data Scientist at Dataiku
Location
New York, NY, US
LinkedIn followers
500 followers

About Liana Principe

I am an experienced Data Analyst looking to get in the Data Science field to apply my statistical mathematics background to generate data-driven actionable insights. I possess a passion for converting raw numbers into functions, trends, and ideas that can direct decision-making strategies to create sustainable impacts.I find myself drawn to data science as it adheres to my inquisitive nature and my love for problem solving. It enables me to create an environment that stimulates my sense of curiosity while balancing my logistical mindset and explorative persona, allowing me to implement personal creativity to solve the puzzles of the world.My special skill lies in versatile communication, mapping the data points into a narrative that can be told to audiences of diverse backgrounds. I am personally dedicated to building and cultivating strong communication across internal and external partnerships as I believe a lack of clear communication is enough to make even the best or strongest data inept. In my past roles, I have seen success in project management by leading cross-functional teams to strategize, execute, and optimize project performance through the use of analytical testing and dashboard creation.I love talking all things data and tech, but also enjoy conversations about food, traveling, recipes, climbing, concerts, and movies/tv!If anything in my profile peaks your interest, please feel free to reach out!To see more of my work, please check out my GitHub: https://github.com/lap309Special Skillset: Statistics, Mathematics, Communication, Storytelling, Big Data Analytics, SQL, Python, Data Visualization, Project Management, Team Leadership

Experience

  1. Data Scientist

    Dataiku

    May 2024 — Present

Education

  • BrainStation

    Data Science

  • Rutgers University

    Bachelor’s Degree, Mathematics and Statistics

    2015 — 2019

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