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Assessing your cultural and operational fit
tonely-landing-page
July 15, 2025 – July 24, 2025
Experience musical pitch through touch: where Apple Watch haptics meet ear training
View Projectblackjack_reinforcement_learning
April 6, 2021 – September 30, 2021
blackjack_reinforcement_learning — GitHub repository
View Projectsympathetic-flaring-research
June 11, 2020 – June 11, 2020
Repo for time series analysis sympathetic flaring research
View Projectbmux
August 6, 2019 – August 24, 2019
bmux is a MacOS tray app that serves as a browser multiplexer
View Projecthmi-time-series-analysis
June 26, 2019 – June 21, 2022
Repo for my physics summer research studying the relationship between time series evolution of magnetic variables on the sun and solar flaring.
View Projectmusic-matcher
May 21, 2019 – July 29, 2019
2019 CS 221 Final Project: classical music classifier by musical era using machine learning techniques
View Projectauto-mixer
March 25, 2019 – July 29, 2019
2018-2019 CS 106X final project: Mixes two songs together and has a visual component to accompany the new song
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration, particularly in data science and machine learning. This indicates a self-starter mentality. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or adaptability in a professional setting. The projects are diverse in topic but consistently personal, which might suggest a preference for independent work. The target role is 'Data Scientist', and several projects align well with this, demonstrating genuine interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.