M Tech student at National Institute of Technology, Surathkal, Mangalore, Karnataka.
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Assessing your cultural and operational fit
Exhaustive-evaluation-of-Cautious-Slow-Start-CSS-in-WiFi-environments.
March 11, 2018 – April 11, 2018
Exhaustive-evaluation-of-Cautious-Slow-Start-CSS-in-WiFi-environments. — GitHub repository
View ProjectHeart_Disease_Prediction_using_Machine_Learning
February 24, 2018 – February 24, 2018
Heart Disease Prediction using Machine Learning
View ProjectImplementation-of-Balanced-RED-in-ns-3
February 23, 2018 – February 24, 2018
Implementation of Balanced RED AQM in ns-3
View ProjectDiabetes_Prediction_using_Machine_Learning
November 20, 2017 – November 20, 2017
Diabetes_Prediction_using_Machine_Learning — GitHub repository
View ProjectHigh-Performance-Computing-frequent-item-set-using-CUDA
October 17, 2017 – November 30, 2017
This is a project of subject CS701 High Performance Computing of Mtech at NITK. It calculates fequent item set using CUDA
View ProjectImplementation-of-Non-Linear-RED-in-Linux-Kernel
September 12, 2017 – November 25, 2017
Implementation of Non Linear RED AQM in Linux Kernel
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards academic and research-oriented tasks, particularly in networking and machine learning. The diversity of technologies (Python, C++, Shell, Go, Ruby, HCL, Matlab, Perl, Cuda, Assembly, Objective C, Makefile) indicates a broad technical curiosity. However, the projects are predominantly personal and lack explicit team collaboration or real-world business impact, which might be a consideration for cultural fit in a fast-paced industry setting. The target role is 'Data Scientist', and while there are relevant ML projects, the breadth of other technologies suggests a wider interest beyond pure data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.