Machine Learning Information Technology

Profile

+1-614-***-****

f.nejad.moghadam.com

https://www.linkedin.com/in/fahimeh

-nezhadmoghadam/

Columbus, OH

Ph.D. Computer Science

Tecnológico de Monterrey, Mexico

Shahid Bahonar University of Kerman

M.Sc. Information Technology

Engineering

2019 - 2022

2011 - 2014

Education

Expertise

English Persian

Language

References

FAHIMEH NEZHADMOGHADAM

Machine Learning Specialist Data Scientist

2023

–

2024

Institute For Obesity Research, Tec de

Monterrey, Mexico

Postdoctoral Researcher

Spearheaded machine learning projects to analyze

large-scale healthcare datasets, identifying key

health patterns and disease subtypes.

Designed and implemented predictive models to

assess health outcomes and disease risks, optimizing model performance for real-world applications.

Collaborated with multidisciplinary teams to deliver actionable insights in personalized medicine.

2014

-

2019

Processing World Company

Software Developer

Developed and maintained scalable web and

Windows-based applications using C#.

Enhanced software solutions for transportation and food ordering systems, ensuring seamless

performance and improved UX/UI.

Successfully migrated legacy systems to modern

MVC architecture.

A results-driven Machine Learning Engineer with over 10 years of experience designing and deploying innovative machine learning and data-driven solutions. Expertise spans data analysis, predictive modeling, and scalable machine learning systems in the healthcare, technology, and software domains. Proven ability to translate complex datasets into actionable insights, enhance decision-making, and drive business outcomes.

****.*********@***.**

Jose Gerardo Tamez

Pena

Email :

Full professor, School of

Medicine and Health Science

************@***.**

Emmanuel Martinez

Ledesma

Email :

Full professor, Institute for

Obesity Research

Work Experience

B.Sc. Information Technology

Engineering

Isfahan University of Technology

2007 - 2011

Interdisciplinary Coordination

Statistical Analysis

Machine Learning & Deep Learning:

Model development, optimization,

deployment.

Programming: Python, R, C#, SQL;

libraries/frameworks (scikit-learn,

TensorFlow, PyTorch).

Data Visualization

Software Development:

MVC architecture, full-stack development

(HTML5, CSS3, JavaScript, Bootstrap).

Spanish

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