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Data Science & Business Student @ BU | Break Through Tech AI/ML Fellow @ MIT
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
bttai-summer2025-ecornell-lab8-project
August 2, 2025 – August 2, 2025
bttai-summer2025-ecornell-lab8-project — GitHub repository
View Projectbttai-fall-ai-studio-project-repo
August 1, 2025 – December 11, 2025
bttai-fall-ai-studio-project-repo — GitHub repository
View Projectchcd-2025spring-person-duplicates
April 9, 2025 – July 25, 2025
chcd-2025spring-person-duplicates — GitHub repository
View Projectchcd-2024summer-duplicates-check
March 5, 2025 – March 5, 2025
Duplication check through python
View Projectchcd-2025spring-duplicates
February 12, 2025 – March 5, 2025
chcd-2025spring-duplicates — GitHub repository
View Projectcs_edc_yb_hb-duplicates-check
October 25, 2024 – October 25, 2024
cs_edc_yb_hb-duplicates-check — GitHub repository
View Projectds310extracredit
December 7, 2023 – December 8, 2023
ds310extracredit — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show an interest in data science and related tasks, which aligns with the target role of Data Scientist. However, the projects are primarily personal and lack detailed descriptions, making it difficult to fully assess the depth of engagement or collaborative experience. The diversity of technologies is limited, mainly focusing on Python and Jupyter Notebook.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, and no interview data is available.