Summary

Showcasing a comprehensive skill set developed through rigorous training and practical experience. Courses completed from reputable providers like Kaggle, Udacity, DeepLearning.AI, Azure, Google Education, and Dataiku Academy are evidence of a solid foundation in AI fundamentals and advanced techniques.
Key accomplishments include the completion of courses such as "Deep Learning with TensorFlow" and "ChatGPT Prompt Engineering for Developers," providing immersive experiences in reinforcement learning, natural language processing, and other AI domains. Recent endeavors in cutting-edge technologies like TensorFlow Lite and applied prompt engineering with Azure OpenAI Service demonstrate a commitment to staying abreast of AI innovation.

Problem-Solving and Continuous Learning

Accompanying this core focus, expertise lies in building and managing data science workflows within Dataiku, including utilizing visual tools, implementing best practices, and deploying models. Additional skills encompass prompt engineering, data analysis, Responsible AI principles, cloud platforms, and programming languages (Python, C#, .Net), all complemented by data engineering and NLP knowledge. A strong commitment to continuous learning fuels further development in Deep Learning and related AI fields.

Deep Learning with TensorFlow

Completion of TensorFlow course with Udacity helped solidify knowledge and expertise in AI, a software development. Topic covered include the following:

- Deep Neural Networks(DNN)
- Convolutional Neural Networks(CNN)
- Recurrent Neural Network(RNN)
- Transfer Learning
- Saving & Loading Models
- Time Series Forecasting
- NLP: Tokenizations & Embeddings
- NLP: Recurrent Neural Networks