Mohamed Zeglam
Engineer & Project Manager
Man’s proper stature is not one of mediocrity, failure, frustration, or defeat, but one of achievement, strength, and nobility. In short, man can and ought to be a hero.
-Mike Mentzer-
Hi, my name is
About Me
I am an engineer turned IoT and data science researcher & developer, passionate about transforming complex signals and data into actionable insights. With a Master’s degree in Electrical & Computer Engineering from the University of Southern California, I focus on signal processing, machine learning, and smart technologies.
Currently, I lead digital transformation projects and manage a technical team as the R&D Manager at Alhadathah Telecom & Informatics in Tripoli, Libya. In this role, I oversee the development of innovative IoT and AI solutions that drive business growth and operational excellence.
Recently, I have been working with technologies and skills including:- SQL
- Python
- IoT Platforms & Deployments
- Project Management Methodologies
- MS Excel
- Linux Systems
- Statistical Modeling
- Data Visualization
- Communication Skills
- Seismic Processing
- Arabic Language (Native)
- English Language (IELTS Overall Band Score: 8.5/9)
Experience
Tripoli, Libya
- Led a 3-person team to develop IoT, smart metering, and software solutions, launching 3 products.
- Collaborated with teams to align R&D projects with business goals and secured multiple partnerships.
- Coordinated with regulators to ensure compliance.
- Worked with sales and business development to identify new product opportunities.
- Mentored junior engineers to support their growth.
- Enhanced research capabilities by acquiring advanced equipment and techniques.
Tripoli, Libya
- Developed and implemented curricula for all courses, ensuring comprehensive and up-to-date content.
- Collaborated with faculty to refine course topics and lectures, enhancing educational quality and relevance.
- Liaised with the Libyan Technical Education Ministry, ensuring compliance with regulations and standards.
Tripoli, Libya
- Automated data cleaning with Python and generated Excel data reports, presenting information to stakeholders, supporting data-driven decisions.
Vernon, California, USA
- Implemented lean practices, reducing order processing time by 50% and increasing inventory capacity by 10%.
- Managed a team of 5, maintained warehouse in compliance with regulatory safety standards.
- Conducted periodic audits of inventory levels to ensure accuracy, and identify discrepancies for swift resolution.
Ontario, California, USA
- Analyzed and tested security applications on the EPIC medical record system.
Stavanger, Norway
- Led seismic processing projects in the North Sea, converting raw data into 3D/4D models to enhance geological insights for more efficient exploration.
- Developed quality control and noise-handling methodologies, enhancing seismic interpretations and reducing client revisions.
- Processed hundreds of TBs of seismic data using Omega, optimizing algorithms to cut computation time and improve resolution.
- Worked closely with stakeholders to define clear project deliverables.
- Presented weekly updates to clients, addressing their concerns and incorporating feedback to ensure project alignment and satisfaction.
- Maintained comprehensive documentation of data processing stages, ensuring clarity for future references.
Education
2015 - 2017
Master of Science in Electrical Engineering
University of Southern California
GPA:
3.56 out of 4.0
- Focus: Signal Processing and Machine Learning
- Board Member: IEEE Chapter at USC
- Co-founder and Board Member: Association of International Graduate Students (AIGS)
- Regular Member:
- Archery Club
- Data Science Club
2005 - 2010
Bachelor of Science in Electrical and Electronic Engineering
University of Tripoli
GPA:
86.52 out of 100.0
- Focus: Telecommunications Networks, Communication Systems and Electronics
- Awarded Top Engineering School Graduate (2010)
Projects
Online Shoppers Intention Prediction
Built a machine learning model to predict online shopping behavior using Gradient Boosting, achieving 91% accuracy and an F1 score of 0.66.
Hospital Readmission Prediction
Designed a predictive system for diabetic patient readmissions, achieving an F1 score of 0.56 using Decision Trees.
Countries GDP Estimation
Developed a Random Forest regressor to estimate GDP per capita for any country in the world, achieving an R² score of 0.88. Created an interactive web app using Streamlit.
Get in Touch
My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!