I'm Christine Akot Nimoh, a passionate marketer with two years of experience in the industry. My journey into marketing began in childhood, driven by a deep passion for promoting my mother's business. Using cardboard as advertising boards, I unknowingly laid the foundation for a career filled with creativity, strategy, and a love for connecting brands with people. With keen interest in continuous learning and collaboration, I am eager to contribute to innovative projects and grow within a dynamic team environment.

Christine Akot Nimoh

I'm Christine Akot Nimoh, a passionate marketer with two years of experience in the industry. My journey into marketing began in childhood, driven by a deep passion for promoting my mother's business. Using cardboard as advertising boards, I unknowingly laid the foundation for a career filled with creativity, strategy, and a love for connecting brands with people. With keen interest in continuous learning and collaboration, I am eager to contribute to innovative projects and grow within a dynamic team environment.

Available to hire

I’m Christine Akot Nimoh, a passionate marketer with two years of experience in the industry. My journey into marketing began in childhood, driven by a deep passion for promoting my mother’s business. Using cardboard as advertising boards, I unknowingly laid the foundation for a career filled with creativity, strategy, and a love for connecting brands with people.

With keen interest in continuous learning and collaboration, I am eager to contribute to innovative projects and grow within a dynamic team environment.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Lead AI Developer at Idoni
January 1, 2025 - Present
AI + IoT platform for early detection and monitoring of adolescent idiopathic scoliosis. Designed and trained a DenseNet121 + SVM hybrid classifier for scoliosis screening from spinal images, achieving 95% accuracy on validation data. Built a ResNet50 backbone with a regression head for Cobb angle measurement (MAE 3.4°). Drove end-to-end data curation, augmentation, normalization, and pipeline deployment; integrated ESP32 + MPU-6050 wearable; deployed on Vercel with MongoDB Atlas; documented experiments and limitations for clinical validation.
AI Developer at Eleka Inc.
June 1, 2024 - October 1, 2024
Designed and implemented AI models to optimize business processes and enhance decision-making; collaborated with cross-functional teams to integrate AI solutions into scalable applications.
Data Scientist Intern at Only Quality Data
January 1, 2025 - April 1, 2025
Developed a Heart Disease Prediction model using classical ML, improving diagnostic signal extraction from tabular clinical features; refined models iteratively with mentors, tuning hyperparameters and evaluating with stratified cross-validation.
Data Analyst Intern at Only Quality Data
September 1, 2024 - December 1, 2024
Analyzed customer churn and employee attrition using Power BI and DAX; designed interactive dashboards for budgeting and financial planning; produced actionable retention recommendations.

Education

Bachelor of Engineering, Software Engineering (AI/ML Specialization) at African Leadership University
January 11, 2030 - April 24, 2026
Bridge Program at Carnegie Mellon University
January 11, 2030 - April 24, 2026
Generative AI at Coursera
January 1, 2025 - April 24, 2026
Software Engineering at African Leadership University
May 1, 2023 - May 27, 2026

Qualifications

Mastercard Foundation Scholar — African Leadership University
January 11, 2030 - April 24, 2026
Winner, Meta × ALU Hackathon — Unesis team
January 11, 2030 - April 24, 2026
Data Analysis Associate — DataCamp
January 11, 2030 - April 24, 2026
Foundations of Generative AI — Udacity
January 11, 2030 - April 24, 2026

Industry Experience

Healthcare, Life Sciences, Software & Internet, Education, Professional Services, Media & Entertainment