
Computer science undergrad interested in computer vision research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
New York University
Data Scientist
June 28, 2026 – Present
NYU_ProcDsgn_RiSC
May 5, 2025 – May 9, 2025
RiSC-16 processor project for NYU Processor Design VIP 2025 spring
View ProjectPortfolioOptimizer
October 9, 2024 – October 15, 2024
The goal is to gather financial news headline data and, based on this data, recommend actions to perform on a simulated trading account via the Alpaca API (in paper trading mode)
View ProjectLoQI-VPR
October 8, 2024 – August 28, 2025
Implementation of the ICCV workshop paper LoQI-VPR. Project website available below
View ProjectClassiLearn
July 14, 2024 – July 25, 2024
Straightforward introductory classical classification modules, for familiarization with CS/data science through speech / facial video modalities
View ProjectNYU_ProcDsgn_labs
February 17, 2024 – November 22, 2024
NYU_ProcDsgn_labs — GitHub repository
View ProjectArt_Price_Prediction_Model
January 7, 2023 – August 5, 2024
Competition result: Won 2nd place at Cloudera and AMD Applied ML 2023 Hackathon
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. The diversity of projects, from ML/DS to hardware design (Verilog, C++), suggests a broad technical curiosity. However, the current experience level is 0, and the only listed 'experience' is a future role at NYU, which makes it difficult to assess cultural fit based on past professional collaboration or team dynamics. The target role is 'Data Scientist', and while many projects align, the breadth also includes areas outside core data science, which could be a strength in cross-disciplinary teams but also indicates a less focused path.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on communication clarity, grammar, professional language usage, logical reasoning, work attitude, stress handling, or team collaboration from the provided assessment scores (all 0).