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Shaik Huzma

Shaik Huzma

B.Tech CSE (AI) graduate · Aspiring Software Engineer / AI/ML Engineer

Madanapalle, Andhra Pradesh, India

@shaik_huzma

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About

B.Tech graduate in Computer Science Engineering (Artificial Intelligence) with internship exposure to data preprocessing and machine-learning workflows. Experienced in academic projects across computer vision, predictive modeling, and NLP, and seeking an entry-level role in software engineering or AI/ML.

Experience

  • AI Engineer Intern
    EduTantr Pvt. Ltd.
    2023 – 2023

    Applied data preprocessing and imputation techniques to improve the quality and consistency of structured datasets. Designed and tested machine-learning workflows and reviewed outputs for model reliability. Collaborated with a four-member team on AI-related project tasks and solution improvements.

Education

  • B.Tech
    Madanapalle Institute of Technology & Science
    Computer Science & Engineering (Artificial Intelligence) · 2021 – 2025
  • Intermediate
    Sri Krishna Reddy Siddhartha Junior College
    Science · 2019 – 2021
  • Matriculation
    Vijaya Bharathi English Medium High School
    2018 – 2019

Skills

1 to 2 years 1 to 2 years A year or two of steady use.
Machine Learning
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C SQL CSS HTML APIs NumPy Keras Python Pandas OpenCV PyTorch Seaborn Matplotlib TensorFlow scikit-learn Data Analysis Deep Learning Computer Vision Natural Language Processing

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Docker Microsoft Power BI Google Cloud Platform Amazon Web Services AWS

Projects

  • NLP Chatbot
    Python, NLTK, spaCy

    Developed a rule-based chatbot and connected it to a web interface to provide interactive responses.

  • Student Performance Prediction
    Python, Scikit-learn

    Implemented Logistic Regression and Random Forest models to predict student outcomes from structured data. Reported 92% prediction accuracy.

  • Human Emotion Detection Using Deep Learning
    Python, TensorFlow, Keras, OpenCV

    Built a CNN-based facial-expression classification workflow using webcam input and image preprocessing. Reported 85%+ accuracy across emotion categories.

  • NLP Chatbot
    Python, NLTK, spaCy

    Developed a rule-based chatbot and connected it to a web interface to provide interactive responses.

  • Student Performance Prediction
    Python, Scikit-learn

    Implemented Logistic Regression and Random Forest models to predict student outcomes from structured data. Reported 92% prediction accuracy.

  • Human Emotion Detection Using Deep Learning
    Python, TensorFlow, Keras, OpenCV

    Built a CNN-based facial-expression classification workflow using webcam input and image preprocessing. Reported 85%+ accuracy across emotion categories.

Courses & certifications

  • Cloud Computing and Distributed Systems · NPTEL
  • Web Development with HTML, CSS3 · OpenWeaver
  • Cloud Computing and Distributed Systems · NPTEL
  • Web Development with HTML, CSS3 · OpenWeaver

⚽ Extracurricular activities

  • National Symposium Coding Competition

    Participated in the coding competition at MITS in 2023.

  • Poster Presentation at G20 Janbhagidari Event

    Presented a poster at the G20 Janbhagidari event.

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