Shelvi Garg

Data Scientist

https://www.opentalent.in/shelvi-garg-1

Data Scientist

IndiaMember since June 12, 2026

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with various data analysis and machine learning techniques (e.g., ARIMA, CART, Feature Selection).
Familiarity with Jupyter Notebook for data exploration and model development.
Exposure to deep learning concepts via Tensorflow Specialization.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards self-driven learning and exploration in data science, which could indicate a proactive and curious mindset. The diversity of projects, from data visualization to machine learning models and language processing, suggests an adaptable individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural fit.

Soft Skills & Operational Fit

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

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Projects

Sales-forecasting-with-ARIMA-Model

September 20, 2021 – September 20, 2021

Sales-forecasting-with-ARIMA-Model — GitHub repository

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AV-Hackathon-sep-2021

September 20, 2021 – September 20, 2021

Rank 78 Solution, MSLE*1000 = 224

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Optimal-Bikes-Prediction

August 24, 2021 – September 12, 2021

Optimal-Bikes-Prediction — GitHub repository

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Tensorflow-Specialization

July 20, 2021 – October 20, 2021

Tensorflow Developer Specialization Course offered by Google and DeepLearning AI on Coursera.

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CART-Machine-Learning

July 16, 2021 – July 16, 2021

Using CART to predict Error of Inclusion and Exclusion. CART Decision Trees for Regression and Classification.

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MYSQL-Experiments

July 6, 2021 – July 10, 2021

Experiments with MYSQL | Practicing Advance Queries and Functions

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Feature-Selection

June 5, 2021 – June 15, 2021

Feature-Selection — GitHub repository

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Animated-Bar-Graph

April 28, 2021 – April 28, 2021

Animated Bar Graph Created using Python's Bar Chart Race on covid 19 cases of countries dataset Feb 2020 to April 2021

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Seaborn-Experiments

February 12, 2021 – February 14, 2021

Read more about my Seaborn tutorial and Visualizations Experiments on Analytics Vidhya: https://www.analyticsvidhya.com/blog/2021/02/a-beginners-guide-to-seaborn-the-simplest-way-to-learn/

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Project-Gutenberg-Language-Processing

February 11, 2021 – May 3, 2021

Project Gutenberg is a volunteer effort to digitize and archive cultural works, and at present, contains over 50,000 books, all previously published and now available electronically to "encourage the creation and distribution of eBooks". Most of the items in its collection are the full texts of public domain books. In this project, we examine the properties of individual books in a book collection from various authors and various languages. More specifically, we looked at book lengths, number of unique words,and how these attributes cluster by language of or authorship.

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Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with various data analysis and machine learning techniques (e.g., ARIMA, CART, Feature Selection).
Familiarity with Jupyter Notebook for data exploration and model development.
Exposure to deep learning concepts via Tensorflow Specialization.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Shelvi Garg

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit