Jasmine Dick
@jasminedick
Aspiring AI & Machine Learning developer building Python models and n8n automations for real-world impact.
What I'm looking for
I’m an aspiring AI & Machine Learning professional with a background in Sociology, driven by a passion for using technology to solve real-world problems. My transition into AI has given me practical experience in Python, Pandas, NumPy, machine learning fundamentals, and workflow automation with n8n.
I enjoy building intelligent solutions, from AI-powered chatbots to machine learning models that analyze and predict meaningful patterns from data. I’ve focused on turning messy inputs into usable results through careful data cleaning and thoughtful model design.
On my personal projects, I developed a smartphone productivity prediction model in Python by implementing KNN, Linear Regression, and Support Vector Machine (SVM). I cleaned and analyzed data with Pandas and NumPy, evaluated model performance, and documented my findings on GitHub.
I also built an AI Prayer Assistant Chatbot using n8n, creating automated conversational workflows for prayer guidance and spiritual encouragement. I applied prompt engineering and workflow automation principles, and I’m now actively seeking entry-level opportunities to contribute, learn, and grow.
Experience
Work history, roles, and key accomplishments
Designed and developed an AI-powered Prayer Assistant Chatbot using n8n.
Built automated conversational workflows to provide prayer guidance and spiritual encouragement.
Applied prompt engineering and workflow automation principles.
Documented and published the project on GitHub.
Machine Learning Developer
Self Employed
Feb 2026 - Present (5 months)
Developed a smartphone productivity prediction machine learning model in Python. Cleaned and analyzed data with Pandas/NumPy, trained KNN/Linear Regression/SVM models, and documented results on GitHub.
AI Workflow Developer
Self Employed
Feb 2026 - Present (5 months)
Designed and built an AI-powered Prayer Assistant chatbot using n8n. Created automated conversational workflows using prompt engineering, and published the project on GitHub.
Developed a machine learning model to predict smartphone productivity using Python.
Cleaned and analyzed data using Pandas and NumPy.
Implemented KNN, Linear Regression, and SVM models.
Evaluated model performance and documented findings on GitHub.
Education
Degrees, certifications, and relevant coursework
University of Port Harcourt
Bachelor's Degree, Sociology
Availability
Location
Authorized to work in
Job categories
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