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Assessing your cultural and operational fit
LRU-Cache-Implementations
April 13, 2019 – April 16, 2019
LRU-Cache-Implementations — repository
View ProjectGCI-from-raw
June 6, 2017 – June 6, 2017
The matlab script to extract GCI information from RAW audio files
View Projectcordic
March 26, 2017 – March 28, 2017
Implementation of trigonometric functions using CORDIC architecture
View Projectwhere2buy
February 2, 2017 – February 27, 2017
The django backend for the android app W2B which lets you compare prices,availability and other details of products such as books on e-commerce sites by clicking a photo of the part of the book containing the name.
View ProjectelectriccarDashboard
November 25, 2016 – March 31, 2017
The dashboard design for electric car showing speed and battery level.
View ProjectlaneDetetction
November 25, 2016 – March 31, 2017
Python implementation to detect lanes on road for driverless cars
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from web backend development to embedded systems and signal processing. This breadth could indicate adaptability and a willingness to explore different technical domains. However, the projects are primarily personal and lack team collaboration context, making it difficult to assess cultural fit in a collaborative environment. The 'Data Scientist' target role aligns with some projects (e.g., 'laneDetetction', 'GCI-from-raw'), but many others are outside this direct domain, suggesting a broad technical curiosity rather than a focused data science background.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.