Binay Chandra is a Data Science Professional with 10+ Years of Expertise in Delivering High-Quality, Data-Driven Solutions
I am a data scientist with over 10 years of experience in machine learning, big data, deep learning, Generative AI, cloud technologies, and agile methodologies. Passionate about solving complex problems, I focus on optimizing processes and delivering impactful, data-driven solutions. With a strong interest in research, programming, and cloud innovation, I’m always eager to explore new technologies and approaches that drive efficiency and scalability.
Design and develop robust machine learning models to solve complex business problems, leveraging algorithms and data-driven insights for optimal decision-making.
Implement advanced deep learning architectures such as CNNs and RNNs to tackle tasks like image recognition, natural language processing, and more.
Develop generative models including GANs and language models to create innovative solutions, enhancing creativity and automating content generation.
Streamline machine learning workflows by integrating development and operations, ensuring scalable, reliable, and efficient deployment of ML models.
Generative AI models that write code like GitHub Copilot, ChatGPT, and specialised coding assistants have transformed how developers work. These tools can generate entire functions,
The rise of Large Language Models (LLMs) like GPT-4, Claude, and Llama has reshaped technology—from writing code and emails to powering advanced chatbots. Their abilities
Singular Value Decomposition (SVD) is a matrix factorization technique that decomposes any real or complex matrix into three simpler matrices that reveal its underlying structure.
- Aparna Mishra, Senior Manager, EY
- Daniel Prince, Product Manager, Mondelez
