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Portfolio of data science and data analysis projects for academic and self-learning purposes.

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cpp data-analysis data-cleaning data-science data-visualization python r rmarkdown matplotlib numpy pandas seaborn excel spss tableau minitab data data-portfolio data-wrangling

data_analysis_portfolio's Introduction

Matthew Abruzzese Ott - Data Analysis Portfolio

This repository contains a portfolio of data science and data analysis projects that I completed for academic and self-learning purposes. It serves as a showcase of my skills, a platform to share my projects, and a way to track my progress in data science and data analysis-related topics.

About Me

Experienced Data Analyst with a solid foundation in Applied Mathematics and Statistics. Proficient in data visualization, statistical analysis, and database development/management. Meticulous attention to detail with a proven track record of delivering insightful findings and recommendations. Adept at transforming complex data into actionable insights to inform business decisions.

Table of Contents

Portfolio Projects

Technical Skills

  • Python (Pandas, Scikit-Learn, Matplotlib, Seaborn, NumPy, Flask), MySQL, Looker, Tableau, Google Workspace (Sheets, Docs, Slides), R & R Markdown, Google BigQuery, AWS, Jupyter Notebook, GitHub, Jira, Google Ad Manager

Certifications

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