Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'class-imbalance-classification' and 'Contract-NLI'.
Experience with Python and Jupyter Notebook, essential tools for a Data Scientist.
Project 'LoCoML' indicates an understanding of full-stack development and deployment concepts, which can be valuable for MLOps aspects.
Experience with algorithms and optimization, as seen in 'optimisation-of-Needleman-Wunsch-Algorithm'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, showing initiative and a drive for learning. However, the diversity of projects is somewhat scattered, ranging from web development to C++ optimization and 3D animation, which might indicate a broad interest rather than a focused alignment with a specific data science role. The target role is 'Data Scientist', and while some projects align, others do not directly contribute to demonstrating cultural fit for a specialized data science team without further context.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.

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Ayush Agrawal

Data Scientist

https://www.opentalent.in/ayush-agrawal-3

CS Undergraduate at IIIT-H

International Institute of Information Technology, Hyderabad

Hyderabad, IndiaMember since June 13, 2026

https://www.opentalent.in/ayush-agrawal-3

Top Skills

HTMLSCSSLiquidRubyJupyter NotebookPythonC++MakefileJavaScriptCSS

Skills

HTMLSCSSLiquidRubyJupyter NotebookPythonC++MakefileJavaScriptCSS

Experience

International Institute of Information Technology, Hyderabad

Data Scientist

June 13, 2026 – Present

Projects

dummy

February 3, 2024 – February 3, 2024

this is a dummy repository

View Project

cs6401_se_2024

December 30, 2023 – April 28, 2024

This is the repository of the course website of the CS6.401 Software Engineering course at IIIT Hyderabad

View Project

BMSID_CodingAssignment

November 12, 2023 – December 27, 2023

LoCoML

August 15, 2023 – December 26, 2023

LoCoML - A Low Code ML platform that serves as a comprehensive solution for individuals looking to leverage machine learning without the need for extensive technical knowledge. It simplifies the process of model training and deployment while still offering a high degree of flexibility and control to the users.

View Project

class-imbalance-classification

December 10, 2022 – December 4, 2022

A comprehensive study to analyse classification methods in class imbalance scenarios

View Project

optimisation-of-Needleman-Wunsch-Algorithm

May 19, 2022 – May 19, 2022

An optimised implementation of Needleman Wunsch Algorithm for Global Alignment of DNA sequences using anti-diagonal and tile based approach

View Project

Algorithms-and-daily-life

May 13, 2022 – May 13, 2022

A book explaining algorithms and applications of algorithms in real life in an interesting and intuitive way

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'class-imbalance-classification' and 'Contract-NLI'.
Experience with Python and Jupyter Notebook, essential tools for a Data Scientist.
Project 'LoCoML' indicates an understanding of full-stack development and deployment concepts, which can be valuable for MLOps aspects.
Experience with algorithms and optimization, as seen in 'optimisation-of-Needleman-Wunsch-Algorithm'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit