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clfu
October 11, 2022 – October 19, 2022
Implementation of Constant Time LFU (least frequently used) cache in Go with concurrency safety.
View ProjectCoding-Interview-Practice
September 20, 2018 – October 17, 2018
Data Structures and Algorithmic questions for coding interview practice
View ProjectFace-recognition-and-authentication
April 8, 2018 – April 10, 2018
Face recognition using dlib.
View ProjectData_Structures
December 10, 2017 – August 31, 2018
Basic Data Structures and algorithms and also code-chef solution programs written in Python
View Projectcoursera-web-development
October 9, 2016 – October 12, 2016
coursera-web-development — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focus on competitive programming, data structures, and some web development. While demonstrating initiative, there is a lack of collaborative projects or experience in team environments. The project diversity is broad in terms of technologies (Go, Java, Python, JavaScript, HTML, CSS, Rust, TypeScript) but lacks depth in specific data science applications beyond basic face recognition. Alignment with a 'Data Scientist' role is present through Python and ML-related projects, but the overall portfolio suggests a generalist programming interest rather than a focused data science trajectory. The candidate's experience level is 0, indicating a junior profile, which might not align with senior-level expectations for cultural fit in a data science team without further evidence of collaborative work or domain-specific contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.