Hussain Ghonem's Picture

Hussain Ghonem

Data Scientist

Summary

Recent graduate with a Bachelor's degree in Informatics and Computer Science, specializing in Artificial Intelligence, from The British University in Egypt and London South Bank University. Experienced in data management, processing, and analysis with a focus on optimizing pipelines and enhancing data quality. Proficient in Apache Spark, SQL, and NoSQL. Committed to continuous learning and collaboration across teams.

During my tenure as a Front End Web Developer Trainee at ITICS, I gained hands-on experience in crafting tailored solutions using HTML, CSS, JavaScript, and Python. This opportunity honed my skills in front-end development and provided valuable insights into practical web technologies.

As a Data Science & AI Intern at SYNC Interns, I had the privilege of applying theoretical knowledge to real-world projects, under the mentorship of Naveen Kumar and the SYNC Interns Team. This experience fortified my skills in data science and AI, preparing me for future endeavors.

Furthermore, my roles as a Machine Learning Intern at both Mentorness and TechnoHacks EduTech provided dynamic experiences involving hands-on projects and real-world applications. These internships deepened my understanding of machine learning and data analysis, enhancing my ability to tackle complex problems.

My involvement in various projects, such as Anomaly Detection in a Cavitational Desalination Pump and Sentiment Analysis Model for Women's Clothes E-commerce Reviews, demonstrates my capability to conduct research and develop practical solutions using advanced techniques.

Additionally, I have showcased my creativity and technical prowess through game development projects like "The Code of Treasures" and "The Life of a Miner in Congo," as well as contributions to software quality assurance initiatives.

I am eager to leverage my diverse experiences and skills in a dynamic environment, contributing to innovative projects and driving impactful decisions.

Education

Bue logo's Picture

Bachelor of Science in Informatics and Computer Science

Good in Artificial Intelligence

The British University in Egypt

Graduated: 28/07/2022

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Bachelor of Science in Informatics and Computer Science

Second Class Honours (1st division) in Artificial Intelligence

London South Bank University

Graduated: 06/07/2022

Work Experience

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Front End Web Developer Trainee

ITICS

Cairo, Egypt · On site

01/09/2018 - 01/12/2018

  • Contributed as a trainee to the development of an educational website project, boosting user engagement by 12% and improving website speed by 7%.
  • SYNC Interns logo's Picture

    Data Science & AI Intern

    SYNC interns

    Mirzapur, Uttar Pradesh, India · Remote

    01/03/2024 - 01/04/2024

  • Developed model achieving 97.6% accuracy in handwritten digit recognition, showcasing expertise in data interpretation.
  • Led the Plant Disease Recognition Project, achieving 98.38% accuracy in categorizing images as colored, grayscale, or segmented.
  • In the Plant Disease Recognition Project, the model achieved accuracy to 95.13% for colored, 86.62% for grayscale, and 92.67% for segmented images.
  • Mentorness logo's Picture

    Machine Learning Intern

    Mentorness

    Ahmedabad, Gujarat, India · Remote

    10/03/2024 - 09/04/2024

  • Authored an article on “Unlocking Insights: Anomaly Detection Using Machine Learning Techniques”.
  • Led the Customer Churn Prediction Project, achieving 79.85% accuracy in forecasting customer churn
  • Led the World Cup 2023 Data Analysis Project, achieving a Mean Squared Error (MSE) of 4.43 for predicting runs and 0.03 for predicting wickets.
  • Specialized in data analysis, model development, and optimization techniques to enhance predictive accuracy and derive actionable insights for team and player performance.
  • TechnoHacks EduTech logo's Picture

    Machine Learning Intern

    TechnoHacks EduTech

    Nashik, Maharashtra, India · Remote

    15/03/2024 - 15/04/2024

  • Participated in developing a private confidential machine learning model, achieving 82.96% accuracy in it’s purpose.
  • TechnoHacks EduTech logo's Picture

    Data Science Intern

    TechnoHacks EduTech

    Nashik, Maharashtra, India · Remote

    15/03/2024 - 15/04/2024

  • Participated in a private confidential data science project, resulting in a 16% reduction in processing time and a 23% increase in predictive accuracy for future business strategies
  • Mentorness logo's Picture

    Data Analyst Intern

    Mentorness

    Ahmedabad, Gujarat, India · Remote

    17/03/2024 - 14/04/2024

  • Authored an article on “Introduction to Power BI: Getting Started with Data Visualization”.
  • Delivered an interactive Power BI dashboard showcasing animation movie trends, audience preferences, revenue analysis, and genre trends.
  • Developed an interactive Power BI dashboard for sales data analysis, resulting in a 19% improvement in operations efficiency and a 14% increase in sales conversion rates.
  • Skills

    Techincal Skills

  • Proficiency in data management, processing, and analysis using SQL and Power BI.
  • Experience in front-end web development with HTML, CSS, JavaScript, and Python.
  • Skill in machine learning and data science, demonstrated through hands-on projects.
  • Knowledgeable in game development using Unity.
  • Languages

  • Arabic: Native
  • English: Professional
  • Projects

    Anomaly Detection in a Cavitational Desalination Pump

    Conducted a feasibility study using deep learning models for detecting anomalies in a cavitational desalination pump using unsupervised data.

    Research Paper: Link

    GitHub Repository: Link

    Sentiment Analysis Model for Women Clothes E-commerce Reviews

    Built a sentimental analysis model based on women's clothes e-commerce reviews.

    Research Paper: Link

    GitHub Repository: Link

    LSTM and GRU as a Sequential Recurrent Network

    Reviewed LSTM and GRU as a sequential recurrent network.

    Research Paper: Link

    Time Series Classification using Neural Networks

    Reviewed a study on different methods of Time Series Classification using neural networks.

    Research Paper: Link

    Automatic Detector Model on Children Toy Cubes

    Built an automatic detector model on children toy cubes.

    Research Paper: Link

    GitHub Repository: Link

    LSTM and GRU in Classifying and Forecasting a Time Series Dataset

    Conducted a study on LSTM and GRU in classifying and forecasting a time series dataset.

    Research Paper: Link

    GitHub Repository: Link

    Data Analysis of Customer Retention of Multinational Chain of Coffee House

    Conducted a data analysis of customer retention of a multinational chain of coffee houses.

    Research Paper: Link

    GitHub Repository: Link

    2D Topdown Game - The Code of Treasures

    Developed and designed a 2D topdown game called "The Code of Treasures".

    Game Link: Link

    3D Game - The Life of a Miner in Congo

    Developed and designed a 3D game called "The Life of a Miner in Congo".

    Game Link: Link

    Comprehensive Software Quality Assurance and Testing Initiative

    Conducted a Comprehensive Software Quality Assurance and Testing Initiative for www.asos.com

    GitHub Repository: Link

    Plant Disease Detection Model

    This project aims to develop an automated plant disease classification system using machine learning and computer vision. The primary goal is to assist farmers in identifying diseases promptly, facilitating timely intervention and minimizing crop losses.

    GitHub Repository: Link

    Digit Recognizer Model

    This project involves creating a machine learning model for handwritten digit recognition using a dataset of pixel values and corresponding labels. The objective is to build and train an accurate model for classifying digits, with an extension to predict labels for an unlabeled test dataset.

    GitHub Repository: Link

    Cricket World Cup 2023 Data Analysis and Prediction Model

    Explore team and player performance in the World Cup 2023 through comprehensive data analysis. Uncover patterns, trends, and key statistics to enhance understanding of cricket dynamics. Gain insights to inform strategic decisions for teams and players.

    GitHub Repository: Link

    Customer Churn Data Analysis and Prediction Model

    Customer Churn Prediction project uses machine learning to forecast customer defection, helping businesses retain customers & minimize revenue loss.

    GitHub Repository: Link

    Contact

    Email: hussainghonem99@gmail.com

    Mobile no.: +20 1121332665

    LinkedIn: Linkedin Profile

    Moddb: Moddb Profile

    ResearchGate: Research Gate Profile

    GitHub: Github Profile