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Jude Otobrise

Jude Otobrise

Data Scientist

Trent University | Ontario, Canada

Technologies

My Portfolio Highlights

My New Course

Data Manipulation with dplyr

My New Project

Dr. Semmelweis and the Importance of Handwashing

My New Course

Joining Data with dplyr

My New Course

Data Manipulation with dplyr

Mindful analyst, decoding patterns to unravel the big picture.

My Work

Take a look at my latest work.

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Trends and Determinants of Hypertension Prevalence in Canada (2008–2019)

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Predictive Analytics of Substance Use Patterns Among Canadian Youth: Insights from the CSTADS 2021–2022 Dataset

R
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PREVALENCE OF TYPE 2 DIABETES MELLITUS (DIAGNOSED AND MEDICATED CASES) BY GENDER IN ALLEGHENY COUNTY

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Prevalence and Treatment Adherence to Hypertension in Allegheny County for 2015

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HONEY BEE COLONIES: INVESTIGATING THE RELATIONSHIP BETWEEN COLONIES ADDED AND COLONIES RENOVATED

DataLab

Project: Dr. Semmelweis and the Importance of Handwashing

DataLab

Project: Analyze the Popularity of Programming Languages

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Sleep Health and Lifestyle Analysis

Python
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Trends and Determinants of Hypertension Prevalence in Canada (2008–2019)

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

DataCamp Introduction to R

DataCamp Introduction to Tidyverse

DataCamp Data manipulation with Dplyr

DataCamp Joining data with Dplyr

DataCamp Intermediate Data Visualization with ggplot2

DataCamp Introduction to Python

DataCamp Intermediate Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Introduction to R
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Anglophone School District West | Nov 2025 - Present

Educational Assistant

Instructional support - Assist students one-on-one or in small groups to reinforce lessons. - Help teachers prepare and adapt instructional materials. - Support students in accessing their programs as guided by the teacher. - Help monitor student progress. Student support - Help with physical and personal care, such as feeding, hygiene, and toileting. - Provide care for medically fragile students. - Support students with social skills, communication, and behavioral plans. - Assist with transportation to and from school and during school activities. Classroom and administrative support - Help with classroom management and organization. - Complete clerical tasks, like taking attendance and maintaining records. - Prepare materials and set up the classroom for lessons. - Supervise students during non-instructional times like recess and lunch. Other duties - Act as a substitute for absent staff when needed. - Assist with community visits and other school-wide activities. - Support inclusion goals for students with exceptionalities
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Outlier | Oct 2025 - Present

Data Annotator

Role Summary - Annotate structured datasets - Identify and correct data inconsistencies - Document data patterns for AI learning Key Responsibilities: Data Labeling: Applying tags, bounding boxes, polygons, or other annotations to identify objects, entities, or patterns in various data types (images, text, audio). Quality Assurance: Performing checks on labeled data to ensure accuracy, consistency, and adherence to project guidelines. Guideline Adherence: Following detailed instructions meticulously, even for subtle details, to maintain data integrity. Tool Proficiency: Efficiently using annotation software and platforms. Collaboration: Communicating with data scientists and engineers to understand requirements and provide feedback on guidelines and processes. Data Security: Adhering to data privacy and security protocols. Core Duties: Categorizing data: Assigning labels (e.g., "cat," "dog") or classifying entire images. Entity Recognition: Identifying and tagging specific entities in text (names, locations). Model Feedback: Validating AI model outputs and correcting errors. Pattern Detection: Spotting relationships and anomalies within datasets.

Trent University | Sep 2024 - Sep 2025

Data Scientist Intern || Trent University, Ontario, Canada

Performed data cleaning and pre-processed large datasets Built statistical models in R to uncover patterns in institutional datasets, supporting data-driven decision-making across departments. Delivered impactful visualizations and reports used in strategic planning sessions. Improved data clarity for non-technical stakeholders, facilitating informed operational improvements. Designed workflows for integrating data insights into real-world applications like sales optimization and resource allocation.

High Hill School | Sep 2022 - Feb 2024

Administrator

Led a 55-member team to develop and implement a hybrid British Nigerian curriculum. Digitized learning systems, increasing e-learning participation by over 40%. Managed daily school operations, resulting in improved parent satisfaction and retention. Oversaw hiring and staff training programs, enhancing teaching quality and school reputation. Performed clerical duties and reported to the executive director

Eagle Might International School | Sep 2019 - Sep 2022

Dean of Studies

Led an 85-member team to develop and implement a hybrid British Nigerian curriculum. Digitized learning systems, increased e-learning participation by over 50%, increased student enrollment, and improved client satisfaction and retention. Actively participated in hiring and staff training programs, enhancing teaching quality and school reputation. Performed clerical duties and reported to the board of governors Played identical management roles in other educational institutions prior to 2022

My Education

Take a look at my formal education

Master of Science - MSc, Applied Modelling & Quantitative Methods: Data Science and Analytics M.Sc.Trent University | 2025
Postgraduate Degree, EducationNational Open University of Nigeria | 2016
Bachelor's degree, Medical BiochemistryUniversity of Benin | 2011

About Me

Jude Otobrise

Data science professional with a solid foundation in educational leadership and a growing technical skillset in analytics. Experienced in deriving actionable insights from complex datasets using R, Python and statistical models.

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