Prerna Baid
@prernabaid
Motivated AI/ML developer building end-to-end ML pipelines and web apps.
What I'm looking for
I’m an MCA graduate specializing in Artificial Intelligence, and I enjoy turning ideas into working AI systems. I build end-to-end ML pipelines, full-stack web applications, and deep learning models that solve real user problems.
Through my remote AI internship at Jyesta Corporate Entity, I gained practical exposure to Artificial Intelligence workflows and tools in a professional setting. I’m also known for being a quick learner who manages deadlines and delivers independently.
In my projects, I developed a House Price Prediction System using Python, Flask, MySQL, and Scikit-learn, including secure user authentication and an admin dashboard with prediction and enquiry management. I also built a Spam Email & SMS Detection model using NLP techniques like TF-IDF with Naive Bayes, complete with EDA, feature engineering, and model evaluation.
For deep learning, I trained an Image Caption Generator with TensorFlow/Keras CNN models on Google Colab, preprocessing 100+ labeled images and using augmentation to improve generalization. I’m excited to apply my skills in Python, NLP, and data analytics to deliver impactful solutions and grow with a forward-thinking team.
Experience
Work history, roles, and key accomplishments
AI Intern
Jyesta Corporate Entity
Dec 2025 - Feb 2026 (2 months)
Gained practical exposure to Artificial Intelligence workflows and tools in a professional remote setting. Strengthened AI/ML development skills through hands-on work during the internship.
Education
Degrees, certifications, and relevant coursework
Bhagwan Mahavir University
Master of Computer Applications (MCA), Artificial Intelligence
2024 - 2026
Grade: 7.99 (CGPA)
Pursuing a Master of Computer Applications (MCA) with a specialization in Artificial Intelligence, achieving a CGPA of 7.99.
Rofel College
Bachelor of Computer Applications (BCA), Computer Applications
2021 - 2024
Grade: 6.72 (CGPA)
Completed a Bachelor of Computer Applications (BCA), achieving a CGPA of 6.72.
Availability
Location
Authorized to work in
Job categories
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