Intro

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Hey there! I’m Hugo Seguin, your friendly neighborhood Associate Cloud and Data Science Engineer at Realm of Caring 🏙️. With a Master’s degree in Social Psychology 🧠, I’m all about merging the worlds of data science and human behavior.

My main focus? Building fast processing pipelines ⚡, analyzing data at lightning speeds 💻, and of course, playing video games 🎮. I love combining my coding skills with my background in psychology to create powerful, data-driven insights.

I’m passionate about using data science methods to enhance psychological research, especially when it comes to improving the strength, validity, and reliability of data 📊. I’m all in for using big data to bring faster insights to the world of psychology! 🚀

It’s the kind of work that keeps me up at night (in a good way, of course! 😴). If you're looking for a Data Engineer or Data Scientist, I’m your guy! 💼 Or if you're just as passionate about psychology and big data methods as I am, let’s nerd out together! Hit me up on LinkedIn! 📩

Oh, and if you want to vibe with me while I crunch data, check out what I am currently listening to:

Playlist Last Updated: December 2024

Connect on LinkedIn

Work

Master's Thesis Code

Check out my R Code repository on GitHub for examples of R programming projects, including visualizations and analyses from my Master's thesis. Below is a sample visualization.

Python Side Projects

Explore my Python Projects repository on GitHub for examples of Python-based analytics and visualizations. Below is an example from my work.

Resume

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Hugo Seguin
Email: hugoseguin111@gmail.com | Phone: 802-307-6314 | Chicago, IL 60614 | LinkedIn

Skills:

  • Coding Languages: Python, SQL, SAS, R, Java, JavaScript, Node.js, C++
  • Database Technologies: MySQL, PostgreSQL, MongoDB, Graph DB, Cloud Data
  • Big Data Technologies: Hadoop, Docker, Pyspark, Airflow, Mage.AI, CLI/Bash, Kubernetes
  • Version Control: Git, GitHub
  • Architecture as Code: Terraform, Ansible
  • Design: Draw.IO, Flowchart
  • Business Visualization Tools: Tableau, PowerBI, SAS Visual Analytics (Redshift)
  • Cloud Platforms: AWS, Tableau Cloud
  • Data Quality: Great Expectations, AWS Glue
  • Database Management: pgAdmin4, DBeaver
  • Statistics: 8 years of quantitative and qualitative analysis
  • Machine Learning: Supervised/Unsupervised Learning, NLP (Scikit-learn, Keras, TensorFlow)
  • Software: Postman, MS Office/PowerPoint, Google Workspace, Gravity Forms

Work Experience:

Realm of Caring (ROC)/ Data Manager

Location: Chicago, IL | Duration: October 2023 - Present

  • Led design and development of data architecture for NIH-funded projects.
  • Cleaned and prepared a decade-old dataset for analysis and ensured integrity.
  • Developed ETL processes for live datasets and migrated to AWS, ensuring PHI/HIPAA compliance.
  • Implemented AWS architecture for a data pipeline with PostgreSQL storage for querying and analysis.
  • Utilized qualitative data analysis techniques for studies and publications.
  • Designed and deployed data pipelines using Mage.AI and Docker, integrating biological datasets.
  • Managed security protocols and legal compliance using AWS IAM, VPC, and data encryption.

Des Moines Area Community College (DMACC)/ Data Analyst

Location: Ames, IA | Duration: May 2023 - October 2023

  • Conducted focused data analysis and reporting on institutional data for external entities.
  • Utilized SAS and SQL for reporting key performance indicators to IPEDS, MIS, and NCCBP.
  • Automated post-graduation outcomes reports using SAS and analyzed qualitative data with Python.
  • Consulted on research projects, providing swift data analysis and survey creation support.

Certificates:

Projects:

ROC Projects:

  • AWS NIH Project: Led migration of complex dataset from REDCap, developed ETL pipeline, and ensured HIPAA compliance.
  • Article API Dashboard: Developed automated pipeline using GraphQL and Mage.AI to visualize article metrics on Tableau dashboards.
  • Registry Version 1/2 Data Cleaning Project: Cleaned and migrated Registry data, automated dashboards on AWS, reducing costs by 20%.

DMACC Projects:

  • Data Governance Policy Project: Contributed to data governance team and policy, created data dictionary to eliminate silos.

Education:

  • Iowa State University - Masters of Science, Social Psychology (GPA: 3.80), Ames, IA, USA
  • Bishops University - Bachelor of Arts, Honors Applied Psychology (GPA: 3.9), Sherbrooke, QC, Canada

Resume Last Updated: November 2024