Aishwarya Upadhyay

Data Scientist

https://talent.gravityer.com/aishwarya-upadhyay

Data Scientist with experience in Machine Learning algorithms.

Staff Data Scientist at Seagate India

Key Strengths

Experience as a Staff Data Scientist at Seagate India, indicating professional exposure to data science roles.
Demonstrated interest in various data science topics through personal projects (e.g., Credit Risk Modelling, Spam Classifier, Topic Modeling, Lane Finding).
Familiarity with Python and Jupyter Notebook, which are core tools in data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a focus on individual learning and exploration (e.g., 'learnings from the course'). While this demonstrates initiative, there is no explicit evidence of team collaboration or contributions to open-source projects. The project descriptions are brief, making it difficult to assess the depth of involvement or problem-solving approaches. The target role is 'Data Scientist', and the candidate's experience and projects align with this domain, but the breadth of application areas is somewhat limited to academic exercises or basic implementations.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and 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

uddhava

September 7, 2025 – Present

Backend APIs

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training-data-curation-bot

September 6, 2025 – September 6, 2025

training-data-curation-bot — GitHub repository

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Getting-Started-With-Python

May 20, 2021 – May 31, 2021

Will add later

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Dashboard-with-plotly-dash

January 6, 2021 – January 6, 2021

Dashboard-with-plotly-dash — GitHub repository

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spam-classifier-Naive-Bayes

November 25, 2020 – November 25, 2020

spam-classifier-Naive-Bayes — GitHub repository

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topic-modeling

November 5, 2020 – November 5, 2020

topic-modeling — GitHub repository

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explore-and-summarize-data-using-r-language

August 22, 2020 – August 23, 2020

explore-and-summarize-data-using-r-language — GitHub repository

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investigate-a-dataset-for-movies

August 22, 2020 – August 22, 2020

investigate-a-dataset-for-movies — GitHub repository

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Credit-Risk-Modelling-Python

December 3, 2019 – January 10, 2020

In this repository I document my learnings from the course on Udemy - udemy.com/course/credit-risk-modeling-in-python/

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Udacity-SDCND-Advanced-Lane-Finding

March 22, 2019 – May 26, 2021

This repo is for working on Project-2 term 1 in which we work forward to find lane lines which are not linear

View Project

Key Strengths

Experience as a Staff Data Scientist at Seagate India, indicating professional exposure to data science roles.
Demonstrated interest in various data science topics through personal projects (e.g., Credit Risk Modelling, Spam Classifier, Topic Modeling, Lane Finding).
Familiarity with Python and Jupyter Notebook, which are core tools in data science.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Aishwarya Upadhyay

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit