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I love to code and play with data, it is more of a hobby rather than work for me. Sketching and programming is something that gets me into some mystic world.
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Pleiades-Spiri
Data Scientist
June 25, 2026 – Present
SalilVishnuKapur.github.io
October 14, 2019 – October 14, 2019
SalilVishnuKapur.github.io — GitHub repository
View ProjectOptimized-Algorithms
September 30, 2018 – October 4, 2018
This is project for the best solutions for each algorithm
View ProjectRobot_EnvironmentExploration
April 17, 2018 – February 13, 2019
Robot_EnvironmentExploration — GitHub repository
View ProjectPredicting-Transportation-Modes-of-GPS-Trajectories
March 20, 2018 – June 2, 2020
Understanding transportation mode from GPS (Global Positioning System) traces is an essential topic in the data mobility domain. In this paper, a framework is proposed to predict transportation modes. This framework follows a sequence of five steps: (i) data preparation, where GPS points are grouped in trajectory samples; (ii) point features generation; (iii) trajectory features extraction; (iv) noise removal; (v) normalization. We show that the extraction of the new point features: bearing rate, the rate of rate of change of the bearing rate and the global and local trajectory features, like medians and percentiles enables many classifiers to achieve high accuracy (96.5%) and f1 (96.3%) scores. We also show that the noise removal task affects the performance of all the models tested. Finally, the empirical tests where we compare this work against state-of-art transportation mode prediction strategies show that our framework is competitive and outperforms most of them.
View ProjectDeepLearning_Tensorflow_Tutor
March 17, 2018 – October 19, 2018
Get hands on training of Deep Learning using Tensorflow
View ProjectMachineLearning_Tutor
March 2, 2018 – March 20, 2018
This is a project for Machine Learning practitioners who want to learn to write the Deep Learning Algorithms using tensorflow.
View ProjectMachineLearning_Workbook
January 24, 2018 – January 25, 2018
This project for learning Machine Learning as per taught by Professor Thomas Trapenberg at DAL.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards self-learning and exploration in data science. The diversity of projects, from theoretical algorithms to practical applications like transportation mode prediction and sentiment analysis, suggests a proactive and curious individual. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess cultural fit beyond individual drive. The single current professional experience as a Data Scientist aligns well with the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.