Husnain Data Scientist / Machine learning Engineer
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🌟 Empower Your Learning Journey with Personalized Online Teaching! 🌟

Struggling with assignments or eager to deepen your understanding of computer science, programming, Mathematics, data science, machine learning? Look no further! With over 4 years of industry expertise and 4 years of teaching experience, I'm here to provide the guidance you need, right at your fingertips.

🚀 About Me:

Hold a Master's degree in IT Engineering from Germany.
Extensive background as a Data Scientist, Machine Learning Engineer, and Software Developer.
Dedicated to helping students overcome challenges and excel in their studies.
💡 How I Can Help:

Expert assistance with assignments, projects, and coursework.
Clear explanations tailored to your learning style.
Practical insights from real-world experience to enhance your understanding.
🌐 Let's Connect:
Don't let assignments overwhelm you – let's tackle them together! Connect with me today and experience the difference personalized online teaching can make in your academic journey.

Subjects

  • Programming Grade 4-MPhil

  • Python Grade 10-MPhil

  • Excel Grade 10-MPhil

  • Data Science O level-Masters/Postgraduate

  • Data analysis Grade 12-MPhil

  • Web development Beginner-Expert

  • Computer and programming Grade 5-Bachelors/Undergraduate

  • Python Programming Course Grade 5-Bachelors/Undergraduate

Experience

  • Java Developer, Web Developer, Data Scientist (Oct, 2018–Present) at Freelancer
    1. Transformative Web Development for Startups
    With hands-on experience in shaping the digital presence of three innovative startups, I specialize in creating robust, user-friendly websites that drive engagement and growth. My journey includes working on end-to-end development, ensuring seamless functionality, intuitive design, and optimal performance. Each project reflects a deep understanding of the unique needs of startups, helping them carve their niche in a competitive market.

    2. Cutting-Edge Mobile Application Development
    Currently, I am dedicated to developing a state-of-the-art mobile application for a forward-thinking company. My expertise spans across both iOS and Android platforms, with a focus on creating responsive, high-performing, and visually appealing apps. My work ensures that users have a smooth and engaging experience, driving both user retention and satisfaction.

    3. Data-Driven Marketing Research and Predictive Modeling
    I have collaborated with five companies to enhance their marketing strategies through comprehensive data analysis and predictive modeling. By leveraging advanced data analytics, I have helped these businesses uncover valuable insights, optimize their campaigns, and ultimately boost their revenue and sales. My predictive models are designed to anticipate market trends and consumer behavior, providing a strategic edge in decision-making.

    4. Advanced Recommendation Systems with Machine Learning
    My experience includes developing sophisticated recommendation systems for three companies using machine learning. These systems have significantly improved customer engagement by offering personalized suggestions, thereby increasing conversion rates and customer loyalty. By understanding and predicting user preferences, I help businesses deliver a tailored experience that resonates with their audience.

    5. Innovative Computer Vision Solutions Using Deep Learning
    I have partnered with three companies to deliver cutting-edge computer vision solutions through deep learning. My projects range from object detection and image recognition to complex visual data analysis. These solutions have empowered businesses to automate processes, enhance security, and gain deeper insights from visual data, driving operational efficiency and innovation.

Education

  • IT Engineering (Oct, 2019–Sep, 2021) from Masters in IT Engineering

Fee details

    €2–15/hour (US$2.11–15.79/hour)

    Depends upon the course and the content

Courses offered

  • Data Science with Python: A Comprehensive Guide

    • €100
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Description:
    Unlock the power of data science with our comprehensive course designed to equip you with essential skills in Python programming and its application in data analysis. This course provides a structured approach to mastering key concepts and techniques in the field of data science.
    Course Overview:

    Introduction to Python for Data Science:

    Understand the basics of Python programming language.
    Explore how Python is utilized in data science applications.
    Common Libraries for Data Science:

    Dive deep into essential libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
    Learn how to leverage these libraries for data manipulation, visualization, and machine learning tasks.
    Exploratory Data Analysis (EDA):

    Master techniques for exploring and understanding datasets.
    Gain insights into data patterns, distributions, and relationships.
    Statistical Methods in Data Science:

    Explore statistical methods commonly used in data analysis.
    Learn how to apply statistical techniques to derive meaningful insights from data.
    Portfolio Project:

    Apply your skills to a real-world data analysis project.
    Showcase your proficiency in data manipulation, visualization, and interpretation.
    Key Learning Outcomes:

    Develop a strong foundation in Python programming for data science.
    Gain proficiency in using essential libraries and tools for data manipulation and visualization.
    Acquire analytical skills to extract valuable insights from data.
    Prepare for a successful career in the dynamic field of data science.
    Join us on this journey to unleash the full potential of data science with Python. Whether you're a beginner or seeking to enhance your skills, this course will provide you with the knowledge and expertise needed to excel in the ever-evolving field of data science.

  • Deep Learning with TensorFlow: Mastering Neural Networks

    • US$100
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Description:
    Embark on a transformative journey into the world of deep learning with our comprehensive course focused on harnessing the power of TensorFlow. This course is meticulously designed to provide you with a solid foundation in deep learning concepts and practical hands-on experience in building neural network models.

    Course Overview:

    Introduction to Artificial Neural Networks (ANN):

    Understand the fundamentals of artificial neural networks.
    Learn how to create a basic Multilayer Perceptron (MLP) using TensorFlow.
    Example Project: Implementing ANN with TensorFlow:

    Dive into a practical example project demonstrating the implementation of an artificial neural network using TensorFlow.
    Gain insights into model architecture, training, and evaluation techniques.
    Convolutional Neural Networks (CNN):

    Explore the architecture and workings of Convolutional Neural Networks.
    Learn how to create and train CNN models for image recognition tasks using TensorFlow.
    Example Project: Applying CNN with TensorFlow:

    Engage in a hands-on project showcasing the application of Convolutional Neural Networks using TensorFlow.
    Develop skills in image preprocessing, model optimization, and performance evaluation.
    Recurrent Neural Networks (RNN):

    Delve into Recurrent Neural Networks and their applications in sequential data analysis.
    Learn how to create and train RNN models for tasks such as sequence prediction and natural language processing.
    Example Project: Building RNN with TensorFlow:

    Participate in a practical project illustrating the implementation of Recurrent Neural Networks using TensorFlow.
    Explore sequence data processing, model tuning, and performance assessment.
    Key Learning Outcomes:

    Gain a comprehensive understanding of artificial neural networks, convolutional neural networks, and recurrent neural networks.
    Develop practical skills in building and training neural network models using TensorFlow.
    Acquire hands-on experience through example projects that demonstrate the application of deep learning techniques.

    Prepare for real-world applications of deep learning in various domains, including computer vision, natural language processing, and time-series analysis.

    Join us in mastering the art of deep learning with TensorFlow and unlock endless possibilities in AI innovation and problem-solving. Whether you're a novice or an experienced practitioner, this course will equip you with the knowledge and skills needed to excel in the rapidly evolving field of deep learning.

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