
#MachineLearning #ComputationalMaterialsScience #UCLA #ClaraAnalytics #KLA #Google #MachineLearningEngineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
June 19, 2026 – Present
fastest-curve
September 19, 2021 – September 19, 2021
Which curve give you the fastest descent?
View Projecttbrain-realestate
October 3, 2019 – February 5, 2020
4th place solution to the TBrain competition
View Projectkaggle-porto-safe-driver-prediction
December 9, 2017 – December 12, 2017
won silver medal, 164th of 5169
View Projectkaggle-dogs-vs-cats-redux
July 23, 2017 – July 23, 2017
kaggle-dogs-vs-cats-redux — GitHub repository
View Projectkaggle-web-traffic-time-series-forecasting
July 21, 2017 – October 3, 2019
Solution to Kaggle - Web Traffic Time Series Forecasting
View ProjectMachineLearning
June 25, 2017 – December 10, 2017
contains all my machine learning implementations
View Projectscd_WRe
May 28, 2017 – July 9, 2017
stochastic cluster dynamic simulation for W-Re alloy (a continuum diffusion-reaction modeling)
View Projectinsight_coding_challenge
April 5, 2017 – April 5, 2017
analytic program for log file of a web server
View Projectkmc_ABVI_surface
August 21, 2015 – March 6, 2017
kinetic Monte Carlo simulation program for radiation damage problems
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in competitive data science and scientific computing, suggesting a drive for problem-solving and continuous learning. The diversity of projects, from web traffic forecasting to kinetic Monte Carlo simulations, indicates adaptability and a broad technical curiosity. The current role at Google as a Data Scientist aligns well with the target role, suggesting a good cultural fit for a data-driven environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.