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Mahmoud Hassan MahmoudMachine Learning Engineer
Email
[email protected]
Phone
01277421063
Location
Kafr El sheikh-egypt
LinkedIn
linkedin.com/in/mahmoudhassanmahmoud
GitHub
github.com/mahmoud857
Kaggle
kaggle.com/mahmoudhassanmahmoud
Profile

Data Scientist & Analytics Engineer with 3 years of experience in designing, implementing, and optimizing machine learning models and data-driven solutions. Proficient in advanced analytics and data engineering. Experienced in collaborating with cross-functional teams to solve complex problems and deliver scalable data solutions. Focused on transforming raw data into actionable insights to improve decision-making and operational efficiency.

Education
Bachelor of Science in Artificial Intelligence

Graduated with a strong academic foundation in artificial intelligence, focusing on machine learning, data science, and robotics.

Completed a graduation project titled "Autonomous Exploration Robot," achieving a perfect score of 200/200 (Grade A+).

09/2019 – 06/2023
Work Experience
Data Science Trainee, CodeClause

Data Science Intern

Engaged deeply with artificial intelligence concepts during hands-on training leading to personal achievement metrics such as mastering 5 distinct machine learning models, culminating in certified competency acknowledged via formal correspondence from trainers.

05/2023 – 06/2023Online
Artificial Intelligence Trainee, SYNC Intern’s

Artificial Intelligence Intern.

Acquired advanced knowledge in AI through rigorous practical projects while obtaining formal certification; selected as one of three participants to receive special commendations for exceptional performance throughout the course.

04/2023 – 05/2023Online
Machine Learning with Big Data Trainee, City of Scientific Research and Technological Applications(SRTACity)

Learn more about:

Explored foundational theories of artificial intelligence, generating 10 detailed reports on recent advancements, which informed strategic decision-making and increased project proposal acceptance rates by 30%.

02/2023online

Developed proficiency in machine learning algorithms by successfully implementing them in over 10 projects, resulting in a 20% improvement in model accuracy and a 15% reduction in processing time.

Gained proficiency in using KNIME to build and optimize over 15 complex workflows for data analysis and machine learning, reducing workflow development time by 30% and improving data processing efficiency by 25%.

DATACAMP SCHOLARSHIP, DATACAMP

Awarded a year-long competitive scholarship (acceptance rate: 5%) to pursue advanced studies in data science and analytics, improving technical skills by 80% and completing more than 10 real-world projects.

2022 – 2023online
Computer vision Trainee, Information Technology Institute(ITI)

Completed 5+ computer vision projects, achieving an average accuracy rate of 92% and contributing to a 15% improvement in model efficiency, culminating in a successful final exam with a score of 98%

07/2022 – 09/2022online
Deep Learning Trainee, 1000 Machine Learning(Ml) Engineer Initiative

Gained extensive knowledge of 10+ deep learning concepts and their applications across 5+ domains, including computer vision and contributing to a 20% improvement in project outcomes and model accuracy

07/2022 – 09/2022online
Data science & Business analytics Trainee, Sparks Foundation

Completed 15+ data science projects, including big data analysis on datasets exceeding 1 million records, predictive modeling with 95% accuracy, and interactive dashboard development that improved decision-making efficiency by 30%. Shared projects on LinkedIn, receiving 500+ views and 50+ professional reviews from the Foundation and industry experts.

07/2022 – 08/2022online
Projects
SONAR Rock & Mine Detection System, End To End Machine Learning
  • Objective: Classify sonar signals into Rock or Mine categories using Machine Learning techniques.
  • Technologies Used: Python, Scikit-learn, Pandas, Streamlit.
  • 05/2025 – present
  • Steps Implemented: Exploratory Data Analysis (EDA), Feature Engineering, Training ML Models (Logistic Regression), Evaluation, and Deployment
  • Results: Achieved an accuracy of 86% using the Logistic Regression model + Developed a web application for practical deployment.
  • Project: Diabetes Prediction System, End To End Machine Learning
  • Objective: Predict the likelihood of diabetes using clinical and medical data
  • Technologies: Python, Scikit-learn, Pandas, Streamlit
  • 05/2025 – present
  • Steps: Exploratory Data Analysis (EDA), Data Cleaning, Feature Engineering, Training ML Models, Model Evaluation, Deployment
  • Result: Achieved 77% accuracy using SVC + Developed a web interface for model deployment
  • Loan Status Prediction System, End To End Machine Learning
  • Objective: Predict loan approval status (Approved / Rejected) based on customer financial and personal data
  • Technologies Used: Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, (Streamlit for deployment)
  • 05/2025 – present
  • Steps Implemented: Exploratory Data Analysis (EDA), Data Preprocessing, Feature Engineering, Training Classification Models (SVC), Model Evaluation, Deployment
  • Results: Achieved an accuracy of 83% using the Random Forest classifier + Built a web application to allow lenders to predict loan status in real-time
  • Autonomous Exploration Robot, Graduation Project

    Grade A+ , 200/200

    project presents an autonomous mobile robot equipped with LiDAR(Light Detection and Ranging), ROS (Robot Operating System), QT5, and a camera. Its primary objective is to explore and access dangerous areas that are inaccessible to humans.The project utilizes a user-friendly GUI (Graphic User Interface) that allows operators to remotely guide the robot to desired hazardous locations.Once the robot reaches the designated area,the onboard camera initiates recording, capturing a comprehensive view of the surrounding environment.Overall, this project provides a robust solution for conducting exploratory missions in dangerous environments, enhancing safety and minimizing risks to human personnel.

    Courses
    Machine learning course, from Stanford (online)
    Google, Crash Course on Python
    Python Programming Basics, Mahara - Tech
    Machine Learning with Scikit-Learn, Linkedin
    Introduction to Deep learning, Mahara Tech
    Introduction to Artificial Intelligence, skillUp
    Cleaning Data in Python, Datacamp
    Data Analyst with Python, Datacamp
    Data Manipulation with pandas, Datacamp
    Skills
    TECHNICAL SKILLS

    Coding .

    Machine Learning & Deep Learning.

    Data Science.

    Data Analysis for Machine Learning.

    Data Visualization .

    SOFT SKILLS

    Public Speaking.

    Time Management .

    Leadership.

    Problem-Solving.

    Presentation Skills.

    Communication Skills.

    Certificates
    Huawei Certified (HCIA-AI)
    kaggle (intermediate Machine Learning certificate)
    DataCamp (Data Scientist with python certificate)
    DataCamp

    Supervised Learning with scikit-learn

    Hackerranck

    Python (Basics)

    1000 ML Engineer Initiative (Deep Learning certificate)
    Stanford (Machine Learning certificate)
    Faculty of Artificial Intelligence

    Certificate of participation in the work of a medical robot

    Linkedin

    Machine Learning with Scikit-Learn

    SYNC Intern’s Certificate

    Artificial Intelligence Trainee

    kaggle (Data Visualization certificate)
    DataCamp (Machine Learning for everyone)
    DataCamp

    Software Engineering for Data Scientists in

    Python

    Mahara-Tech

    Python Programming Basics

    CodeClause Certificate

    Data Science Trainee

    Community Participation
    Raya Higher Institute for Administration and Foreign Trade in New Damietta

    I participated in giving a seminar on the importance of artificial intelligence in our livesDuring this symposium, I explained the importance of artificial intelligence in our lives and the applications on it in many fields such as agriculture, education, medicine, etc., and answered questions from the audience.

    03/2022New Damietta
    The visit of the President of the Republic, Abdel Fattah El-Sisi, to Kafr El-Sheikh University, Medical Robot

    During the visit of the President of the Republic to Kafrelsheikh University, I explained to his Excellency inside the Faculty of Artificial Intelligence each of the medical services robots that I made with my colleagues inside the faculty , I also displayed a 3D printer from the work of my colleagues inside the college, and he praised these projects

    12/2021Kafr El-Sheikh
    How to be a freelancer?

    A session about how to be a freelancer

    I talked about how to start self-employment, and I also talked about the advantages and disadvantages of self-employment. I also explained the self-employment sites and how to work on them and get the first job.

    07/2023Online, Egypt
    Awards
    Participated in International Robots Competition (online ) and qualified to the final stage of the 1 st Online International Robots Competition
    2020
    Interests
    Robotics & Arduino

    Reading Books
    Natural Language Processing (NLP)