Ali Muhammad Ganaie
Machine Learning Engineer & AI Innovator
Passionate ML Engineer from Kashmir, specializing in predictive analytics, computer vision, and deep learning. Currently advancing AI solutions through hands-on internships and innovative projects that bridge data science with real-world applications.
About Me & Technical Expertise
Computer Science Engineering student at Lovely Professional University (CGPA: 7.04) with specialized focus on Machine Learning and Data Science. Currently gaining industry experience as ML Intern at Prodigy InfoTech, where I develop robust predictive models and optimize data pipelines for enhanced business insights.
Technical Skills
Programming Languages
ML/AI Frameworks
Data Tools
Specializations
Education Timeline
Lovely Professional University
Computer Science Engineering • CGPA: 7.04
12th Science
84.8%
10th Science
80%
Certifications
Complete Machine Learning and Data Science
GeeksForGeeks
August 2024
Hardware and Operating Systems
Coursera
June 2023
Professional Experience
Machine Learning Intern
Prodigy InfoTech & Co.
March 2025 - April 2025
- Contributed to robust ML model development for predictive analytics initiatives
- Improved model accuracy through comprehensive feature engineering and data preprocessing
- Enhanced training performance by optimizing data pipelines for high-dimensional data
- Implemented Python unit testing (unittest/PyTest) for ML workflow validation and edge case simulation
Skills Demonstrated
Featured Projects
Podcast Popularity Prediction
WebScrapping & ML Algorithms (Mar-May 2024)
Developed ML model predicting podcast popularity using metadata analysis, sentiment scores, and engagement metrics. Applied Multiple Linear Regression for meaningful insights into contributing factors.
Melanoma Detection Using CNN
Computer Vision (Feb-Mar 2025)
Built Sequential CNN models with Conv2D, MaxPooling, and Dropout layers. Applied data augmentation techniques to reduce overfitting and evaluated performance through training/validation analysis.
Color Match AI
Computer Vision & Audio Integration (Feb-Mar 2025)
Developed skin tone classification system using HSV and LAB color spaces with real-time audio feedback integration via gTTS and pygame.
Let's Build Something Amazing Together
Ready to collaborate on cutting-edge ML projects or discuss opportunities in AI and data science? I'm always excited to connect with fellow innovators and potential collaborators.