Peter Winslow

Data Scientist

https://talent.gravityer.com/peter-winslow

Staff Data Scientist @ Change.org

Change.org

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with NLP techniques (Doc2vec) and machine learning models (Logistic Regression, Fraud Detection).
Familiarity with Python and Jupyter Notebook for data analysis and model development.
Current role as Data Scientist at Change.org indicates direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate initiative. The current role at Change.org suggests an interest in impactful work. However, the project descriptions are brief, and there's limited information on collaborative efforts or diverse team experiences. The experience level is listed as 0, which contradicts the current Data Scientist role, indicating a potential data discrepancy or a very recent start in the role.

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

change-org-app

May 2, 2017 – May 18, 2017

An app for improving UX for change.org users and predicting unlisted petition categories using advanced NLP techniques such as Doc2Vec.

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doc2vec-driven-sentiment-analysis-of-imdb-reviews

April 25, 2017 – May 1, 2017

I use Doc2vec to derive numerical vector representations of textual movie reviews. I then train a logistic regression classifier on these vectors to predict sentiment of future movie reviews.

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Pyfi

April 3, 2017 – April 3, 2017

A short script to continuously test wifi connection

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Hadoop-Social-Network-Analysis

April 3, 2017 – April 3, 2017

Determine the minimum degrees of separation between any two marvel superheroes using a breadth first search algorithm implemented in hadoop

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Logistic-Regression-From-Scratch

April 3, 2017 – April 3, 2017

I build a logistic regression classifier from scratch and test its performance against that of scikit-learn logistic regression

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Lepton-Number-Violation-at-100-TeV

April 3, 2017 – April 3, 2017

Repo for the Lepton Number Violation at 100 TeV Project

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Kaggle-Titanic

April 3, 2017 – April 3, 2017

Kaggle Titanic Challenge

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Fraud-Detection

April 3, 2017 – April 3, 2017

This repo contains my jupyter notebook for a data challenge for building a machine learning model to identify fraud in e-commerce transaction data

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Conversion-Rate-Optimization

March 16, 2017 – March 16, 2017

This repo contains my jupyter notebook for a data challenge optimizing conversion rate

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DB5-SQL-Stanford-Course

March 16, 2017 – March 20, 2017

My solutions to the DB5 SQL Lagunita Course

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with NLP techniques (Doc2vec) and machine learning models (Logistic Regression, Fraud Detection).
Familiarity with Python and Jupyter Notebook for data analysis and model development.
Current role as Data Scientist at Change.org indicates direct relevance to the target role.

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.

Peter Winslow

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit