Muskaan Begam Sayed
Associate Software Engineer @ Mphasis
About
As a Python developer, I have hands-on in libraries like Pandas, NumPy, and Django, I am passionate about harnessing Python’s capabilities to create impactful applications, streamline processes, and unlock valuable insights from data. I am always eager to collaborate on projects that challenge my skills and expand my knowledge in this ever-evolving field. I worked on a Face Mask Detection project, using Python and deep learning libraries like TensorFlow and OpenCV to create a model that accurately detects whether individuals are wearing face masks in real-time. This project involved training convolutional neural networks (CNNs) on a custom dataset to ensure high accuracy and efficiency. It highlights my skills in image processing, model training, and the application of AI in practical scenarios—especially in today's world, where health and safety are paramount. I am eager to continue exploring the intersection of Python, AI, and real-world applications. Let’s connect to discuss how I can bring value to your next project through innovative Python solutions.
India
Hubli
Information Technology & Services
HTML5, Bootstrap (Framework), Front-End Development, Program Creation, Machine Learning, Artificial Intelligence (AI), Big Data, Data Science, Network Security, Web Development, R (Programming Language), JavaScript, HTML, Cascading Style Sheets (CSS), Java, C++, C (Programming Language), SQL, Python (Programming Language), AutoCAD
Experience

S&T Drafstman
Hubli, Karnataka, India
I have used Python in Signal Interlocking Plans to automate, optimize, and simulate the control systems used in railway signaling. Signal interlocking is a safety mechanism that ensures signals and track switches are coordinated in such a way that conflicts (like allowing a train to move on a track already occupied by another) are prevented.
Muskaan Begam Sayed's Contact Information
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