Iโm a data-driven professional with a multidisciplinary background in data science, computer science, and economics. With a Master of Information in Data Science from the University of Toronto and hands-on experience across data engineering, analytics, and machine learning, I thrive in solving real-world problems through intelligent, data-powered solutions.
Over the past few years, Iโve delivered impactful machine learning models, data pipelines, and visualizations across sectors including energy, healthcare, public policy, and education. My strengths lie in Python (Pandas, Scikit-learn, TensorFlow), SQL, cloud platforms (Azure, AWS), and big data tools like Spark. Iโve developed classification models for mental health, built time-series predictors for energy efficiency, and created dashboards that guide strategic decisions.
Whether itโs automating reporting, designing end-to-end ML workflows, or deploying models in the cloud, I bring a strong mix of technical skill and business insight. Iโm passionate about ethical AI, continuous learning, and building solutions that are both scalable and socially impactful.
๐ Nationality | ๐จ๐ฆ Canada |
๐ก Residency | ๐จ๐ฆ Canada |
๐ Location | ๐จ๐ฆ Canada |
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rok.co/@seoabdella |
๐ Website | levelup.riipen.com/users/WzwRwbjO |
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seoahmed |
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https://www.linkedin.com/in/seida-ahmed-2129a95b?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app |
Skilled in | python sql data science machine learning data analytics data visualization predictive modeling data preprocessing |
Fluent in | english |
Preferred timezone | 0, +1,+2,+3,+8,+9 |
Preferred annual pay (min) | $20,000/year |
Preferred hourly pay (min) | $15/hour |
Last seen | 1 month ago |
Signed up | 1 month ago |
Badges |
๐ฉโ๐ป Remote worker ๐ Early adopter |
2025 - 2025: Data Science/NLP Intern @ Ubineer/Riipen