
Shah B
Apply Data Science, AI and Agentic AI to real world problems
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Data Scientist
Infocabs • Vollzeit
Aug 2025 - Present • 9 mos
I am a Data Scientist with full-time professional experience at Infolab, where I worked on developing practical, data-driven AI solutions for real-world applications. My role focused on transforming raw data into meaningful insights and building intelligent systems using machine learning, deep learning, computer vision, and generative AI techniques. At Infolab, I was involved in the complete data science lifecycle, including data collection, cleaning, preprocessing, exploratory data analysis, feature engineering, model development, evaluation, and deployment. I worked with structured and unstructured data such as tabular datasets, images, and text, ensuring data quality and reliability before model training. I developed and optimized machine learning models using Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. A significant part of my work involved computer vision projects, including image classification, object detection, and real-time systems using OpenCV, MediaPipe, and YOLO. I also worked on NLP and generative AI solutions, including text preprocessing, embeddings, chatbot systems, and AI-driven automation. In addition, I contributed to building intelligent AI agents designed to automate workflows, analyze data, and support decision-making processes. I collaborated closely with developers and stakeholders to ensure that solutions were aligned with business goals and usable in production environments. My experience at Infolab strengthened my problem-solving skills, ability to work with real-world data constraints, and understanding of delivering scalable AI solutions. I now apply this industry experience to provide reliable, practical, and result-oriented data science and AI services.
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Malaysia