Reza Manekia Python developer
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With experience in Python, Data Science, Machine Learning, Embedded systems, and Electronics Engineering, I bring a broad range of technical skills to any organization. I am skilled in using Python for data analysis, modeling, and visualization, and have experience with various libraries and frameworks, including NumPy, SQL, Pandas, Scikit-learn, Matplot, seaborn and open-CV (media pipe).

My expertise in Data Science has enabled me to develop predictive models for various applications, such as natural language processing, image recognition, and time-series analysis. I have experience in working with large datasets and in data cleaning, preprocessing and EDA (Exploratory Data Analysis).

In addition to my programming skills, I have experience in Embedded systems and Electronics Engineering, where I have been involved in the design, development, and testing of hardware and software for various systems and devices. I have experience in using microcontrollers, sensors, and communication protocols, such as SPI, I2C, and UART.

My combination of expertise in Python, Data Science, Machine Learning, Embedded systems, and Electronics Engineering, make me a valuable asset to any organization seeking to develop innovative and sophisticated technologies. I am always looking for new challenges and opportunities to learn and grow, and would welcome the chance to work with a team of skilled professionals.

Subjects

  • Maths Beginner-Expert

  • Physics Beginner-Expert

  • Python Beginner-Expert

  • Data Science and Machine Learning Beginner-Expert

  • SQL Queries Beginner-Intermediate

Experience

  • Machine Learning with python (Mar, 2023–Present) at UTech digital eductaion
    I have recently started as a lecturer on Machine Learning with Python at Utech Digital Education. In this course, I will be teaching students how to use Python to manipulate data, build supervised machine learning models, and implement deep learning algorithms.

    We will start by covering the basics of Python, including data types, variables, operators, and control flow statements. Then, we will move on to data manipulation, where we will learn how to load, clean, and explore data using Python libraries such as NumPy and Pandas.

    Once we have a good understanding of data manipulation, we will start building supervised machine learning models. We will cover a variety of algorithms, including linear regression, logistic regression, decision trees, and random forests. We will also learn how to evaluate the performance of our models and select the best model for a given problem.

    In the final part of the course, we will cover deep learning. Deep learning is a powerful machine learning technique that can be used to solve a variety of problems, including image classification, natural language processing, and speech recognition. We will learn about the different types of deep learning models, such as convolutional neural networks and recurrent neural networks. We will also learn how to train and evaluate deep learning models.

    I am confident that this course will provide students with the skills they need to use Python to solve real-world machine learning problems. I am excited to help the next generation of data scientists and machine learning engineers build the future.

    Here are some additional details about the course:

    The course is designed for students with a basic understanding of Python.
    The course will cover the following topics:
    Data manipulation with NumPy and Pandas
    Supervised machine learning algorithms
    Deep learning
    The course will use a variety of real-world datasets to demonstrate the concepts being taught.
    The course will be taught in a hands-on, project-based format.
    Students will have the opportunity to work on their own machine learning projects throughout the course.
    The course will be assessed through a combination of quizzes, assignments, and a final project.
    I am looking forward to a great semester teaching this course
  • Data science, AI, and Power-BI (Feb, 2023–Jun, 2023) at Utech Services
    I recently completed a 4-month internship at Utech Services as a Power BI and Data Science Intern. During my internship, I had the opportunity to work on a variety of projects, including:

    Developing a Power BI dashboard to track sales performance for a retail company.
    Building a machine learning model to predict customer churn for a telecommunications company.
    Conducting data analysis to identify trends in social media data for a marketing company.
    I also had the opportunity to attend several trainings and workshops, which helped me to further develop my skills in data science and Power BI. I learned about topics such as machine learning, natural language processing, and data visualization.

    Overall, I had a great experience at Utech Services. I learned a lot about data science and Power BI, and I had the opportunity to work on challenging and interesting projects. I would highly recommend this internship to anyone who is interested in a career in data science.

    In addition to the technical skills that I learned, I also gained valuable soft skills during my internship, such as communication, teamwork, and problem-solving. I was able to apply these skills to my work on the various projects that I was assigned.

    I am confident that the skills and experience that I gained during my internship at Utech Services will be valuable to me in my future career. I am grateful for the opportunity to have worked with such a talented team of professionals, and I am excited to continue my journey in data science.

Education

  • BE (Aug, 2020–now) from NED university of Engineering and Technology, Pakistan–scored 3.5

Fee details

    Rs1,500–3,000/hour (US$5.38–10.76/hour)

    Depending on type of work

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