Rakshith Sharma

Data Scientist

https://talent.gravityer.com/rakshith-sharma

Member since June 26, 2026

Key Strengths

Demonstrated experience with Python and Matlab in various personal projects, which are key tools in Data Science.
Exposure to machine learning concepts through projects like 'projection-nn' and 'subspace-cnn'.
Experience with C++ and CUDA, indicating potential for performance optimization in data-intensive tasks.
Familiarity with Jupyter Notebooks, a common environment for data scientists.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic and personal, indicating a strong interest in self-driven learning and exploration. However, the lack of team-based or industry-specific projects makes it difficult to assess collaboration or adaptability to a corporate culture. The project descriptions are brief, limiting insight into problem-solving approaches or project impact.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

KVcache

January 29, 2025 – January 29, 2025

KVcache — GitHub repository

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starter-rakshith-academic

November 26, 2021 – November 19, 2023

starter-rakshith-academic — GitHub repository

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rakshithsrinivasa.github.io

November 11, 2019 – October 5, 2025

rakshithsrinivasa.github.io — GitHub repository

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Aperture_coded_imaging

September 17, 2019 – September 17, 2019

Code base for "Beams Vs Bandwidth: Imaging with randomized beamforming"

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projection-nn

August 15, 2018 – November 27, 2018

Trains a network to efficiently project onto complicated sets.

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subspace-cnn

February 10, 2018 – May 4, 2018

Code for CS 7476 project

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LASSO-regression

September 18, 2016 – September 18, 2016

LASSO-regression — GitHub repository

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redsvd

January 25, 2016 – January 25, 2016

Automatically exported from code.google.com/p/redsvd

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Speech_Project

March 24, 2015 – March 24, 2015

ECE 6255

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Key Strengths

Demonstrated experience with Python and Matlab in various personal projects, which are key tools in Data Science.
Exposure to machine learning concepts through projects like 'projection-nn' and 'subspace-cnn'.
Experience with C++ and CUDA, indicating potential for performance optimization in data-intensive tasks.
Familiarity with Jupyter Notebooks, a common environment for data scientists.

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.

Rakshith Sharma

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit