Sebastine Chika Osita
Phone: 416-930-1152
Email: chikaosita2@gmail.com
Download Resume HERE
Hello, my name is Sebastine Chika Osita and
I am a recent graduate from the University of Waterloo with a Bachelor in Mathematics (Computational Mathematics Major and Statistics Minor)
My passion for numbers and analyzing patterns in data unearthed my love for statistics and machine learning.
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I am a diligent and inquisitive individual who has plans to work in the world of data analysis and artificial intelligence.
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Aside from my love for statistics, I am also passionate about sports, reading and playing chess.
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PROFESSIONAL EXPERIENCE
Machine Learning Developer Intern
Remote
ON, Canada
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Developed an image classification app using TensorFlow Lite and Flutter, enabling the identification of glucose readings, blood pressure readings, and random images.
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Implemented and optimized machine learning models for mobile platforms, ensuring efficient performance and accuracy in real-time image classification.
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​Collaborated with cross-functional teams to integrate machine learning models seamlessly into a mobile app, enhancing user experience and app functionality.
Mathematics Expert & AI Trainer
Remote
ON, Canada
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Evaluated and validated domain-specific content generated by AI models, ensuring factual accuracy and relevance in accordance with industry standards.
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Developed and answered complex mathematical questions, leveraging analytical skills to enhance understanding and problem-solving capabilities.
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​Assessed and ranked AI-generated responses based on domain-specific criteria, ensuring high-quality outputs aligned with technical and contextual requirements
2025-Present
2024-2025
EDGE Ambassador & Data Analyst
University of Waterloo
Waterloo, ON
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Curated a series of comprehensive data reports based on the 'UWaterlooEDGE' Instagram page, that resulted in a meteoric rise in views, likes and shares.
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Responsible for recruiting multiple students to join the EDGE program by hosting multiple EDGE information booths and events.
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Spearheaded an online marketing campaign for the EDGE program via various social media posts.
2023-2024
EDUCATION
The University of Waterloo
(2020-2024)
Bachelor of Mathematics
Computational Mathematics Major, with a Minor in Statistics
Certificate in Experential Education
PROJECTS
Body Mass Index Prediction Modelling
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Built predictive models (MLR, GAM, Random Forest) to estimate BMI based on physical and dietary data, with Random Forest achieving the best accuracy.
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Conducted exploratory data analysis, identifying key predictors like family obesity history, gender, and caloric intake.
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Performed hyperparameter tuning and 5-fold cross-validation, achieving a 0.12 MSE and 0.34 RMSE with the Random Forest model.
Click HERE to view project
Religious Importance Prediction Modelling
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Utilized Random Forest, XGBoost, and Neural Networks to predict survey responses, achieving accurate classification of religious importance levels based on European survey data.
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Analyzed survey data with feature engineering and model tuning to optimize predictions across five categorical responses. Click HERE to view project
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Multimodal A.I. Language Tutor
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Built an AI language tutor using Gradio with text, voice, and image output for an engaging user experience.
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Used LangChain and RAG to fetch up-to-date, relevant content from a custom database.
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Displayed images of countries based on user queries to enhance cultural and language context.
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Enabled dynamic tutoring features like grammar tips, vocab practice, and conversation support.
SKILLS & EXPERTISE
SUMMARY OF QUALIFICATIONS
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.Proficient in Hugging Face for deploying and fine-tuning transformer-based models.
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Experienced with Lang Chain for building AI-powered applications and LLM integrations.
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Strong expertise in PyTorch and Tensor Flow for deep learning, neural network training, and model optimization.
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Hands-on experience with LLM fine-tuning and deployment using Hugging Face and LangChain.
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Familiar with prompt engineering and retrieval-augmented generation (RAG) techniques.
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Experience in building and optimizing NLP models with state-of-the-art architectures.
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Over 3 years of experience with data analytical software such as Python, R-studio, Tableau and SQL
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Proficient in machine learning techniques such as random forests, neural networks, and support vector machines (SVMs).
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Well-versed in Tableau and Power BI for creating interactive dashboards and data visualizations.
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Activities and Interests
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Chess
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Mixed Martial Arts
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Reading
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Avid swimmer
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Reading
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Meditation
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Big Data
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Statistics