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Data Science Masters Student @ Columbia
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
houseLLM-constrained-decoding
April 3, 2026 – Present
An experimental study on how constraint strength affects LLM behavior
View ProjectElectrophysiology-analysis-for-Intrinsic-properties
February 27, 2026 – Present
Electrophysiology-analysis-for-Intrinsic-properties — GitHub repository
View Projecthera
February 14, 2026 – Present
HERA is an AI-powered emotional safety layer designed to help parents approach sensitive conversations with empathy rather than confrontation. Instead of monitoring raw messages, HERA translates behavioral signals into emotional insight, and provides guided practice before difficult conversations happen.
View ProjectWorkshops2021
September 8, 2021 – March 30, 2022
A repository for all workshop materials for the 2021-2022 academic year.
View ProjectPomodoGo
January 29, 2021 – February 21, 2021
A website aimed to increase academic and personal productivity amid the COVID-19 pandemic
View ProjectMRCOVID-Patient-Management
December 5, 2020 – July 19, 2021
MRCOVID-Patient-Management — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, showing a breadth of technologies but lacking clear alignment with a professional data science team environment. The diversity of projects (web development, data analysis, AI) indicates a broad interest, but also a potential lack of deep specialization in core data science areas. The 'hera' project, an AI-powered emotional safety layer, suggests an interest in impactful applications of AI, which could be a positive cultural fit for an innovative team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.