Rishav Chandra Varma

Data Scientist

https://talent.gravityer.com/rishav-chandra-varma

Solving problems for a living.

Bengaluru, Karnataka, India

Key Strengths

Demonstrated strong interest and practical experience in various AI/ML domains through personal projects (e.g., GPT-Neo pretraining, RAG, Sentiment Analysis, Neural Machine Translation).
Proficiency in Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with deep learning concepts (CNNs, NMT, Volumetric Regression Networks) indicates a solid theoretical and practical foundation in advanced ML.
Exposure to MLOps-related tools like Dockerfile, suggesting an understanding of deployment considerations.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is entirely personal, indicating strong self-motivation and initiative in learning and applying data science concepts. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration skills or fit within a structured team environment. The projects are diverse within the AI/ML domain, showing broad interest.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

RAG-examples

August 7, 2023 – February 1, 2024

Retrieval Augmented Generation Examples - Original, GPT based, Semantic Search based.

View Project

gpt-code-clippy

July 1, 2021 – January 18, 2022

Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

View Project

COVID-Xray_classification

May 12, 2021 – May 12, 2021

COVID-Xray_classification — GitHub repository

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vrn

November 25, 2018 – December 19, 2018

Volumetric Regression Network based on the work of Aaron S. Jackson - Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

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Sentiment-Analysis

October 19, 2018 – October 19, 2018

Using N-Gram Multichannel CNN for Sentiment Analysis

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Statistical-Keyword-Extractor

October 15, 2018 – October 15, 2018

A statistical based keyword extractor from a single document.

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MedicalDiagnosisBot

September 23, 2018 – September 23, 2018

MedicalDiagnosisBot — GitHub repository

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Neural-Machine-Translation

September 2, 2018 – February 1, 2024

Implementing neural machine translation from scratch using Python,Keras.

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Hearing-Aid-Matlab

December 7, 2017 – August 24, 2018

Speech Processing System (Implemented in Matlab)

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Simulator

November 16, 2017 – August 24, 2018

Visualisation of Scheduling Algorithms in Java

View Project

Key Strengths

Demonstrated strong interest and practical experience in various AI/ML domains through personal projects (e.g., GPT-Neo pretraining, RAG, Sentiment Analysis, Neural Machine Translation).
Proficiency in Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with deep learning concepts (CNNs, NMT, Volumetric Regression Networks) indicates a solid theoretical and practical foundation in advanced ML.
Exposure to MLOps-related tools like Dockerfile, suggesting an understanding of deployment considerations.

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 are available.

Rishav Chandra Varma

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit