Vigneswaran Chandrasekaran

Data Scientist

https://talent.gravityer.com/vigneswaran-chandrasekaran

I like Computational Neuroscience

India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Python and Jupyter Notebook for data-related tasks.
Projects indicate exposure to various ML/DL concepts like RNNs, Wavelets, and Optimization Algorithms.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong personal interest in research-oriented and experimental data science topics, which could align well with a culture that values innovation and exploration. The diversity of project topics (EEG analysis, handwriting generation, bandit problems) suggests a broad curiosity. However, without professional experience or team-based projects, it's difficult to assess collaboration or professional work ethic.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Assessing your cultural and operational fit

Projects

timing_bg_network

March 30, 2026 – Present

timing_bg_network — GitHub repository

View Project

Alphabets-OldDeadVersion

November 18, 2025 – December 11, 2025

Alphabets-OldDeadVersion — GitHub repository

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editplt

November 7, 2025 – November 8, 2025

Save your Matplotlib plots as JSON to edit later

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wannacry_download

August 21, 2025 – August 21, 2025

wannacry_download — GitHub repository

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rnn_handwriting_generation

April 12, 2021 – April 6, 2022

RNN to generate handwriting

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Flipflop_experiments

December 18, 2020 – December 21, 2021

Experiments with Flip flop networks on a variety of tasks to check and showcase its generalization abilities

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Brian2-examples-markdown-descriptions

August 25, 2020 – November 5, 2020

Markdown descriptions of Brian2 models put in examples

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k-armed-bandits

May 1, 2019 – July 25, 2024

An implementation of "Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling".

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Suitable-Basis-Wavelet-for-EEG

January 2, 2019 – August 7, 2022

Finding the best Daubechies Family wavelet which can better approximate the non-stationary EEG signals and effectively classify them for seizure detection.

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AHW-BGOA-DNN

December 18, 2018 – August 7, 2022

Binary version of adaptive Haar Wavelet based Grasshopper Optimization algorithm and Deep Learning Neural Network

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Python and Jupyter Notebook for data-related tasks.
Projects indicate exposure to various ML/DL concepts like RNNs, Wavelets, and Optimization Algorithms.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Vigneswaran Chandrasekaran

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit