IBANGA, Ibanga Jackson

Entry-Level Data Scientist
Calabar, NG.

About

Highly motivated and results-driven professional with a strong foundation in data science, evidenced by intensive training and hands-on project experience in predictive modeling and fraud detection. Leverages a background in scientific research and data annotation to analyze complex datasets, extract actionable insights, and develop robust machine learning solutions. Eager to contribute analytical skills and a passion for data-driven problem-solving to an innovative data science team.

Work

Awarri language AI
|

Data Annotator

Remote, Nigeria

Summary

Conducted precise data annotation and labeling for machine learning models, ensuring high data integrity and usability for AI applications.

Highlights

Performed data annotation and labeling for machine learning and AI applications, contributing to the development of robust models.

Collaborated with data scientists and engineers to refine labeling guidelines, achieving alignment with project-specific requirements and enhancing data quality.

Executed quality checks and validation processes on annotated data, identifying and correcting inconsistencies to maintain high data integrity and usability.

Participated in regular training sessions to stay updated on annotation techniques and project requirements, contributing to continuous improvement efforts.

Starville School
|

Biology Teacher

Abuja, Nigeria

Summary

Taught biology to senior secondary students, simplifying complex topics and engaging them through interactive lessons and practical sessions.

Highlights

Taught biology to senior secondary students, preparing them for local and international examinations and achieving strong academic outcomes.

Simplified complex scientific topics, increasing student engagement and comprehension through interactive lessons and practical laboratory sessions.

Mentored students for science competitions and coordinated JETS Club activities, fostering analytical thinking and problem-solving skills.

Gene Educational
|

Tutor

Uyo, Nigeria

Summary

Conducted science tutorials for secondary school students, enhancing understanding and boosting academic performance through personalized instruction.

Highlights

Conducted tutorials in science subjects for secondary school students, simplifying challenging topics to improve understanding and performance.

Helped students achieve excellent examination results through personalized tutoring strategies and targeted support.

Volunteer

HEDIS Health Foundation
|

Volunteer Campaign Team-Lead

Calabar, Cross River State, Nigeria

Summary

Led a community campaign on water sanitation and prevention of waterborne diseases, coordinating needs assessments and stakeholder engagement.

Highlights

Led a team to conduct needs and assets assessments, gathering crucial data for community organizing initiatives.

Collaborated with community stakeholders to develop and deliver health education on water sanitation and prevention of waterborne diseases.

Secured installation of borehole water by collaborating with community members to write letters to stakeholders, addressing a critical community need.

Mind-Reset Foundation
|

Volunteer Campaign Facilitator

Calabar, Cross River State, Nigeria

Summary

Facilitated a social marketing campaign on drug and substance abuse prevention among secondary school students, developing and delivering educational materials.

Highlights

Collaborated on developing promotional and educational materials, including picture cards and flyers, for a social marketing campaign.

Delivered health education sessions on drug and substance abuse prevention to secondary school students, impacting knowledge and awareness.

Conducted pre-tests on campaign materials to ensure effectiveness and relevance for the target audience.

Education

University of Calabar
Calabar, Nigeria

Master of Public Health (MPH)

Public Health

University of Uyo
Uyo, Nigeria

BSc

Physiology

Languages

English
Ibibio

Skills

Programming Languages

Python.

Data Analysis & Visualization

Data Analysis, Data Visualization, Power BI, Microsoft Excel, Pandas, NumPy, Matplotlib, Seaborn.

Machine Learning

Predictive Modeling, Classification, Regression, Fraud Detection, Scikit-learn.

Tools & Software

Microsoft Word, Microsoft PowerPoint, Google Colab, Jupyter Notebooks.

Core Data Science Concepts

Data Preprocessing, Feature Engineering, Model Evaluation, Statistical Analysis.

Interests

Coding
Writing
Scrabble and chess

References

Prof. Uduak Okon

Dean, Faculty of Basic Medical Sciences, University of Uyo, Uyo Nigeria. chairmo2013@gmail.com +2347034731970

Dr Antor Ndep

HOD, Department of Public Health, University of Calabar, Calabar Nigeria. drndep@gmail.com +2349060381917

Mr Joseph Ogar

Sectional Head, Starville School, Abuja josephatebogar@gmail.com +2348054812473

Projects

Titanic Survival Prediction

Summary

Developed a machine learning model to predict passenger survival on the Titanic, applying data preprocessing, feature engineering, and classification algorithms.

House Pricing Prediction

Summary

Built a regression model to predict house prices based on various features, utilizing statistical analysis and machine learning techniques.

Fraud Detection System

Summary

Designed and implemented a fraud detection system using machine learning to identify anomalous transactions.