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Computer Scientist focused on applied machine learning research and development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
moseq2-app
August 26, 2019 – Present
MoSeq2 Jupyter Notebook platform used to run all of the MoSeq2 tools in a GUI.
View ProjectHackerRank-Data-Science
May 10, 2019 – May 19, 2019
Data Science/Machine Learning Solutions in Python3
View ProjectpyCosmos
May 3, 2019 – June 5, 2019
ML-based Recommendation system using pySpark and Directed Weighted Graphs
View ProjectBitcoinPriceIndicator
August 16, 2018 – August 25, 2018
Swift 4 application that uses Alamofire to request information from coindesk and display Bitcoin price.
View ProjectCustomCameras
August 14, 2018 – August 16, 2018
Custom camera implementations, some using CoreML and TesseractOCR to perform text recognition.
View ProjectMacaron
March 5, 2018 – July 18, 2018
Deep Learning music recommendation web application implemented using Convolutional Neural Networks (CNNs) and Node.js backend.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and machine learning. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit. The project diversity is good, but the alignment with a senior Data Scientist role is limited by the absence of large-scale, collaborative, or production-grade system experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.