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University of Michigan
Data Scientist
June 29, 2026 – Present
AIS
December 15, 2024 – December 15, 2024
Contextual Anomaly Detection for AIS Tracks via Directions.
View ProjectRemez_Python
September 17, 2024 – December 15, 2024
Python implementation of Remez algorithm, provides the best uniform polynomial approximation to functions based on the minimization of the maximum absolute error and the equioscillation theorem.
View Projectstudent-grid-management-system
July 2, 2022 – July 2, 2022
A student grid management system that is suitable for both PC and mobile environments
View ProjectRecommended-travel-routes-for-the-new-crown-epidemic
December 6, 2021 – December 6, 2021
This system (website page) Pull the real-time statistics of the number of people infected in each region, to help you better plan your travel routes under the COVID-19 epidemic.
View ProjectA-case-study-retrieving-and-measuring-similarity-on-Wikipedia-articles
March 16, 2020 – March 16, 2020
Using turicreate to compare the performance of knn model using word-counts and TF-IDF.
View ProjectA-case-study-analyzing-reviews-sentiment-of-Amazon-products
March 15, 2020 – March 15, 2020
Using turicreate to improve the results' explanation by interpreting the difference in performance among several classifiers.
View Projecttextual-information-extraction-and-numeric-processing
March 10, 2020 – March 19, 2020
Extract textual information from Amazon products reviews and draw correlations through regression and fluctuation analysis.
View ProjectUsing-clustering-instead-of-classification-on-breast-cancer-dataset
March 5, 2020 – March 19, 2020
Improved model performance on accuracy and NMI indicator by determining the optimal number of clusters and post-processing.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards academic and personal exploration in data science. The diversity of projects, from travel route recommendations to Remez algorithm implementation, indicates a broad intellectual curiosity. However, the lack of professional experience and detailed project context makes it difficult to fully assess cultural fit beyond a general interest in data-driven problem-solving. The target role is Data Scientist, which aligns with the project themes.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed experience is a current Data Scientist role at the University of Michigan starting in 2026, which suggests this is a future or placeholder entry. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.