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
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
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.
2024-Present
2023-2024
Sales Consultant, Motorola Specialist
Bell.Inc
Kitchener,ON
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Specialized in the selling of bell mobility and residential services such as bell home internet, television and home phones.
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Chief overseer of all Motorola related products and sales. Member of the Motorola insider program, in which information regarding Motorola services was overlayed.
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Provided excellent customer service, by courteously providing any required assistance, answering bell related questions, and intelligently resolving consumer disputes.
2022-2022
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
SKILLS & EXPERTISE
SUMMARY OF QUALIFICATIONS
• Recipient of the Certificate in Experiential Education from the University of Waterloo.
• Strong and passionate public speaker, with high interpersonal skills.
• Extremely well versed in Microsoft programs such as Word, PowerPoint, Excel, and Publisher.
• Exceptional problem-solving abilities, critical thinking skills, and an avid multi-tasker.
• Over 2 years of experience with data analytical software such as Python, R-studio, Tableau and SQL
• Proficient in machine learning techniques such as random forests, neural networks, and support vector machines (SVMs).
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