Mariyam Fatima CSE graduate tutoring in Quranic studies & Math.
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 Online tutor specializing in Quran, Tajweed, memorization, and Mathematics.
 Passionate about empowering kids and women through personalized, engaging lessons.
 Dedicated to fostering love for learning, instilling confidence, and proficiency in Quranic recitation, understanding, memorization, and mathematical concepts.
 Tailoring teaching methods to individual needs and learning styles, creating a supportive and interactive online environment.
 Courses offered include Qaida, Islamic studies, Quran recitation with Tajweed, Hifz-ul-Quran, Prophet Stories, Dua, Hadith for kids, and Sirat of Prophet Muhammad SAW.
 Fluent in English, Hindi & Urdu, offering engaging sessions with the option for a demo class before enrollment.
 Dedicated to creating a comfortable and supportive environment for women, encouraging free learning without hesitation.
 Provides individual sessions for optimal learning outcomes.
 Tailors courses to meet the needs of women and girls seeking to enhance their recitation and Tajweed skills.
 Seeking international students interested in weekend sessions.
 I can provide online instruction through presentations and homework assignments, fostering a friendly learning environment. Students will learn Quran recitation, wudhu, salah, and gain insights into lessons about the Prophet and his companions.

Subjects

  • Computer Science Beginner-Expert

  • Math Grade 8-Grade 10

  • Quran Beginner-Expert

  • Quran & Tajweed Beginner-Expert

  • Quran & Memorization Beginner-Expert

  • Qaida and Quran Beginner-Expert

  • Quran and Hifz Beginner-Expert

Experience

  • MACHINE LEARNING INTERN (Apr, 2023–Jun, 2023) at INDIAN SERVERS- SOFTWARE DEVELOPMENT COMPANY, ANDHRA PRADESH.
    SMS-SPAM-DETECTION-BOT is my NLP project as an intern at Indian Servers - Software Development Company. The project focuses on the application of NLP techniques for classifying SMS messages as either "spam" or "ham". It utilizes the Multinomial Naive Bayes algorithm for accurate classification and incorporates a user-friendly interface through integration with Telegram.
  • ACADEMIC MINI PROJECT (Apr, 2023–Aug, 2023) at Stanley College of Engineering and Technology for Women, Hyderabad
    Collaborated with a team of 3 members on an academic mini project titled "Classification model for water quality using XGBoost algorithm". It has an accuracy of 85%. The model is integrated with Telegram. It determines whether water is potable or not.
  • WEB DEVELOPER INTERN (Jan, 2022–Feb, 2022) at RINEX TECHNOLOGIES, HYDERABAD
    I have completed a Web development internship offered by Rinex technology in association with Cognizance IIT Roorkee. I have completed 2 major and mini projects by using html, CSS, JavaScript languages.
    Mini projects- registration form- login and signup web page & resume building web page.
    Major projects- Analog clock & calculator.

Education

  • Bachelor's of Engineering in Computer Science (CSE) (Nov, 2020–May, 2024) from Stanley College of Engineering and Technology for Women, Hyderabad–scored 85%

Fee details

    ₹2,500–8,000/month (US$29.24–93.58/month)

    ITS BASED-ON TIME AND COURSE SELECTED

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