Shivangi Dixit

Data Scientist

https://talent.gravityer.com/shivangi-dixit

Analytics Consultant

IndiaMember since June 16, 2026

Key Strengths

Demonstrated proficiency in R for data analysis and visualization through multiple personal projects.
Experience with various data science techniques including regression, clustering, market basket analysis, and exploratory data analysis.
Exposure to deep learning concepts for facial recognition, indicating an interest in advanced ML topics.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects primarily focus on data analysis and visualization using R, which aligns with a Data Scientist role. However, the lack of team projects, diverse technology exposure (heavily R-centric), and professional experience limits the assessment of cultural fit and adaptability to varied team environments.

Soft Skills & Operational Fit

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

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Projects

testrepo

May 20, 2026 – Present

testrepo — GitHub repository

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Exploratory-Data-Analysis-App

February 20, 2024 – March 5, 2024

R Shiny app for Exploratory Data Analysis & Descriptive Statistics.

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Conversations_Analysis

February 20, 2024 – February 20, 2024

R Shiny app to analyse the textual conversations using Wordcloud, N-grams, Sentiment etc.

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Suicides-in-India

March 16, 2023 – February 20, 2024

Using Shiny app, explored data about suicides in India from 2001 to 2012 based on parameters like Gender, States/UTs, suicide causes, suicide methods and more.

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Sales-dashboard

March 16, 2023 – February 20, 2024

Sales dashboard showing no. of orders, total sales, top products and more.

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Blog-Codes

July 11, 2022 – July 11, 2022

This is a repository which has all the codes which are used in this blog https://datascienceapplied.com/

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Internship-project-on-Facial-Recognition-using-Deep-Learning

September 25, 2018 – September 25, 2018

Applied Convolutional Neural Networks on public face databases of various universities to perform facial recognition task.

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Exploratory-data-analysis-on-World-University-Rankings-

September 25, 2018 – September 25, 2018

Data manipulation and visualization of 'Center for World University Rankings (CWUR)' data

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Multiple-Linear-Regression-Analysis

September 25, 2018 – July 11, 2022

Implementation of multiple linear regression on 'Life expectancy(WHO) data'

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Clustering-and-Market-Basket-Analysis

September 24, 2018 – September 25, 2018

Implementation of k-means and apriori algorithm on Cincinnati Zoo food data

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Key Strengths

Demonstrated proficiency in R for data analysis and visualization through multiple personal projects.
Experience with various data science techniques including regression, clustering, market basket analysis, and exploratory data analysis.
Exposure to deep learning concepts for facial recognition, indicating an interest in advanced ML topics.

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 provided.

Shivangi Dixit

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit