Shivang Agarwal

Data Scientist

https://talent.gravityer.com/shivang-agarwal

Code never lies, Comments might do!

Delhi, India

Key Strengths

Demonstrated interest in various machine learning applications through personal projects (e.g., prediction systems, recommendation engines, GANs, NLP).
Exposure to multiple machine learning algorithms (Random Forest, Linear Regression, Collaborative Filtering, SVD, Apriori, Reinforcement Learning, GANs, Hoffman Coding, Sentiment Analysis).
Experience with Python and Jupyter Notebook, which are core tools in data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, indicating a strong interest in learning and applying data science concepts. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The project diversity aligns with a data scientist role, but the depth of experience is limited to personal exploration.

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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Projects

Stock-Market-Prediction-Website

November 25, 2018 – November 29, 2018

A Website where users can input company stock ticker and view the predicted stock results.

View Project

Blog

November 13, 2018 – November 19, 2018

A personal blog developed using Python and Django

View Project

Recommendation-Engine

July 30, 2018 – July 30, 2018

Implemented Collaborative filtering using cosine similarity and singular value decomposition (SVD) to recommend movies

View Project

Auto-Image-Completion

April 10, 2018 – May 27, 2018

Tool designers and photographers can use to fill in unwanted or missing parts of images. (GAN implementation)

View Project

Review-Sentiment-Detector

January 22, 2018 – January 22, 2018

How to guess whether a person felt positively or negatively about an experience, just from a short review they wrote.

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Ads-CTR-Optimizer

January 22, 2018 – January 22, 2018

Applying Reinforcement lerning on social network ads to predict most suited ad for the user.

View Project

Market-Basket-Optimization

December 30, 2017 – December 30, 2017

Applying associative rule learning on market basket optimization by applying Apriori algorithm.

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Social-Network-ads-Boost

December 30, 2017 – December 30, 2017

Prediction system to predict which user is going to buy a product displayed on a social media advertisement using random forest classification.

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Predict-Housing-Price

October 16, 2017 – October 16, 2017

Prediction system to predict housing price of a particular area using Linear regression.

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Text-File-Compressor

October 2, 2017 – October 8, 2017

Popular Hoffman coding algorithm is followed to create this. Java with swing is used. Can save upto 50% of disk space after compressing the file.

View Project

Key Strengths

Demonstrated interest in various machine learning applications through personal projects (e.g., prediction systems, recommendation engines, GANs, NLP).
Exposure to multiple machine learning algorithms (Random Forest, Linear Regression, Collaborative Filtering, SVD, Apriori, Reinforcement Learning, GANs, Hoffman Coding, Sentiment Analysis).
Experience 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.

Shivang Agarwal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit