William Scott

Principal Product Data Scientist

https://talent.gravityer.com/william-scott

Principal Data Scientist | Linkedin: https://www.linkedin.com/in/ws701/

Delhi, India

Key Strengths

Candidate has several personal projects demonstrating engagement with data science and machine learning concepts, particularly in Natural Language Processing (NLP) and Information Retrieval.
Proficiency in Python and Jupyter Notebook, which are core tools for a Product Data Scientist.
Experience with deep learning algorithms for sentiment analysis and classification.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong interest in data science and machine learning, aligning with the technical aspects of a Principal Product Data Scientist role. The diversity of projects, including web development (HTML, CSS, JavaScript) and mobile (Swift), indicates a broad technical curiosity, which can be a positive for cultural fit in a dynamic environment. However, the lack of professional experience makes it difficult to assess collaboration and product-oriented thinking.

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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Assessing your cultural and operational fit

Projects

WAClear

April 13, 2026 – Present

WAClear — GitHub repository

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cab

April 7, 2026 – Present

cab — GitHub repository

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ENDEMIC

March 1, 2021 – March 1, 2021

ENDEMIC — GitHub repository

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Cross-SEAN

October 11, 2020 – August 25, 2021

Cross-SEAN — GitHub repository

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ELJST

April 3, 2020 – July 6, 2023

ELJST — GitHub repository

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Embedding-LJST

September 9, 2019 – January 6, 2020

Embedding-LJST — GitHub repository

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williamscott701.github.io

July 21, 2019 – July 11, 2020

williamscott701.github.io — GitHub repository

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DL-TM

July 19, 2019 – July 19, 2019

DL-TM — GitHub repository

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Sentiment-Analysis-to-Classify-Online-Abuse

February 3, 2019 – February 4, 2019

Deep Learning algorithms to analyse the sentiment of text to classify abusive and collusive tweets on twitter.

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Information-Retrieval

January 27, 2019 – June 19, 2021

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

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Key Strengths

Candidate has several personal projects demonstrating engagement with data science and machine learning concepts, particularly in Natural Language Processing (NLP) and Information Retrieval.
Proficiency in Python and Jupyter Notebook, which are core tools for a Product Data Scientist.
Experience with deep learning algorithms for sentiment analysis and classification.

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.

William Scott

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit