A small selection of recent projects
Analysis of Loan Outcomes
Understanding the factors that predict loan defaults ('charged-off') is essential for optimizing risk management and reducing financial losses in the largest online loan marketplace.
Computer_vision_image_segmentation
Image segmentation in computer vision using PyTorch and U-Net involves training a neural network to accurately partition an image into meaningful segments by classifying each pixel based on learned patterns.
Image_genration-QandA-using-Gen-AI
AI-Powered GAN-based image generation and a Gemini LLM-powered question answering system. It showcases the capabilities of generative AI in both visual and textual domains.
credit_card_fraud_detection
Credit card fraud detection using machine learning involves training models to identify and flag suspicious transactions by analyzing patterns and anomalies in transaction data.
Our work experience
Our approach
Planning & Strategy
Clarify business objectives and gather relevant data to set a strong foundation for the project.
Development & Execution
Develop, train, and validate models to ensure they meet the project objectives and perform well on the data.
Deployment and Monitoring
Deploy the models into production, monitor their performance, and maintain them to ensure they continue to deliver value over time.