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Engineering / Architecture
University of Guelph
Samira Yousefinaghani

Samira Yousefinaghani

Data scientist and machine learning engineer
University of Guelph, Ontario


About Samira Yousefinaghani:

A data scientist researcher with four years of industry experience in software engineering and machine learning (NLP focused). I have a background in information technology engineering and computer science with interests in uncovering stories from the data and building predictive models to automate decision-making in real-world problems. I have authored more than ten manuscripts and presented my work via journals and conferences.


Senior Data Scientist and Machine-Learning Engineer at Bluescape, California (Jan 2022 – Present):

  • Responsible for voice command identification in Bluescape meetings.
  • Conducted sentiment analysis on customer reviews and Net Promoter Scores (NPS) using Python, including syntax and entity recognition with spaCy.
  • Worked on image generation from text using transfer learning techniques like Dall-e 2 and Stable Diffusion.
  • Implemented a search engine, configuring Postgres and Apache Solr (Docker images).

Research Assistant (Postdoc) at the School of Computer Science, University of Guelph (Jul 2020 – Jan 2022):

  • Applied machine learning and natural language processing (NLP) models to analyze Twitter data, Google Trends, news, and spatiotemporal datasets.
  • Conducted semi-supervised classification of vaccine opinions for a large dataset of 1 million posts.
  • Led active learning classification efforts to identify and combat misinformation across 5 million posts.
  • Conducted topic modeling of media content and worked on demography detection of Twitter users.
  • Prepared publications and presentations based on research findings.

PHP and Database Developer at LifeWeb Corporation, Tehran, Iran (Apr 2013 - May 2016):

  • Managed continuous and automatic data collection and storage from social media posts and news websites.
  • Developed and maintained APIs for data access and retrieval.
  • Designed and customized databases to meet user requirements, including modifications and upgrades.
  • Utilized SQL queries for generating business intelligence reports related to trends, keywords, and influential users.
  • Took responsibility for software releases.

Data Structures Lecturer at Islamic Azad University, Pardis Branch (Sep 2014 – Dec 2014):

  • Delivered lectures on data structures to students.


  • Ph.D., Computational Science (GPA: 4/4), May 2016- June 2020, University of Guelph, ON, Canada. Thesis: A Decision Support Framework for the Surveillance and Prediction of Avian Influenza Events.

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