Aadarsh Gupta

Data Scientist

https://talent.gravityer.com/aadarsh-gupta

IITD'23

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with fundamental ML algorithms (SVM, K-Means, Linear Regression, Classification).
Familiarity with Python and Jupyter Notebook for data analysis and model development.
Participation in an ML Hackathon and contribution to a research paper (IEEE INDICON 2022) indicates practical application and academic engagement.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, focusing on core data science and machine learning concepts. The 'Data Scientist' role at 'IITD'23' is listed as current but with a future start date (2026), which requires clarification. The project diversity is good within the ML domain, but there's limited evidence of collaborative or production-level work. The breadth of skills is concentrated on Python, Jupyter Notebook, and basic ML algorithms, with one C++ DSA project.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.

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Projects

covid-symptoms-classification

December 28, 2023 – March 1, 2024

official repo for IEEE INDICON 2022 paper, "Text Based Diagnosis of COVID-19 Using Data Mining Techniques: A Comparative Study".

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DSA_codes

August 21, 2022 – December 7, 2022

All Data Structures and Algorithms code practice

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ELL793_A1

February 4, 2022 – February 6, 2022

This repository contains the code, data and report for Computer Vision (ELL793) Assignment 1 problem statement.

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G_Playstore_Data_Analysis

August 29, 2021 – November 25, 2021

G_Playstore_Data_Analysis — GitHub repository

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SVM_Classifier

August 26, 2021 – August 28, 2021

SVM_Classifier — GitHub repository

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K_Means_Clustering

August 24, 2021 – August 24, 2021

K_Means_Clustering — GitHub repository

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Iris_flower_classification

August 19, 2021 – August 19, 2021

Iris_flower_classification — GitHub repository

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Simple_Classification

August 17, 2021 – August 18, 2021

Simple_Classification — GitHub repository

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Simple_Linear_Regression

August 14, 2021 – November 25, 2021

Simple_Linear_Regression — GitHub repository

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ML_Hackathon

July 3, 2021 – July 3, 2021

Code for the handwritten expression evaluator challenge under Hack the Summer 2021.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with fundamental ML algorithms (SVM, K-Means, Linear Regression, Classification).
Familiarity with Python and Jupyter Notebook for data analysis and model development.
Participation in an ML Hackathon and contribution to a research paper (IEEE INDICON 2022) indicates practical application and academic engagement.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.

Aadarsh Gupta

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit