Samira Yousefinaghani
Data scientist and machine learning engineer
Talent
University of Guelph, OntarioMember since September 20, 2023
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About
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.
Experience
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).
- 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.
- 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.
- Delivered lectures on data structures to students.
Education
- 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.