Aswin Jose

Data Scientist

https://www.opentalent.in/aswin-jose

CND student @IIITH,

IndiaMember since June 13, 2026

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Projects like 'voltaML' and 'NBS-KIRP-CNV' indicate exposure to machine learning model deployment/optimization and bioinformatics/multi-omics data analysis, which are relevant to Data Scientist roles.
Familiarity with deep learning inference runtimes (TensorRT, TorchScript, ONNX, TVM) suggests an understanding of performance optimization for ML models.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

fastapi_app_test

June 24, 2024 – July 4, 2024

A simple psql-fastapi backend personal project for learning

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ViT-fMRI

May 4, 2023 – May 9, 2023

ViT-fMRI — GitHub repository

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water_quality_analysis

April 25, 2023 – April 25, 2023

water_quality_analysis — GitHub repository

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graph_strat_test

November 17, 2022 – November 17, 2022

for testing different graph auto encoders

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volta-trees

August 22, 2022 – December 22, 2022

volta-trees — GitHub repository

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voltaML

June 11, 2022 – November 30, 2022

⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.

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NBS-KIRP-CNV

June 4, 2022 – June 14, 2022

Codebase and Data for the work on Network diffusion-based approach for survival prediction and identification of biomarkers using multi-omics data of Papillary Renal Cell Carcinoma

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Config

January 27, 2022 – January 27, 2022

Config files for i3 manjaro

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socket_programming

November 26, 2021 – November 27, 2021

socket_programming — GitHub repository

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AAD-Project

October 11, 2020 – November 24, 2020

A webapp with scalable implementation of blockchain technology which entails many features.

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Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Projects like 'voltaML' and 'NBS-KIRP-CNV' indicate exposure to machine learning model deployment/optimization and bioinformatics/multi-omics data analysis, which are relevant to Data Scientist roles.
Familiarity with deep learning inference runtimes (TensorRT, TorchScript, ONNX, TVM) suggests an understanding of performance optimization for ML models.

Cultural Fit Analysis

The candidate's projects are all personal, indicating self-motivation and a passion for learning. The diversity of projects, from ML libraries to web apps and system configurations, suggests a broad interest in technology. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team environment. The target role is 'Data Scientist', and while many projects align, the breadth also includes areas less directly related, which could indicate a generalist tendency rather than a focused specialist.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Aswin Jose

Key Strengths

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit