ML Crafters Pty Ltd

Passionate about the intersection of machine learning and real-world impact, I'm a seasoned researcher with expertise in machine learning, text analysis, and explainability methods. With a PhD in Computer and Information Science, I've pioneered innovative approaches to enhance the accuracy and validity of machine learning models. Throughout my journey as a Post-Doctoral Research Fellow at CSIRO Australia, I've collaborated with diverse business units to develop cutting-edge, explainable machine learning models. My proficiency extends to Deep Neural Networks, Graph Neural Networks, Natural Language Processing, and Sentiment Analysis. My programming prowess in C, C++, Java, and Python enables me to bridge theoretical innovation with practical implementation. Additionally, my commitment to transparency and robustness has led me to specialize in explainability methods, ensuring the reliability of models in critical applications. From academia to industry, I've contributed as an educator, guiding students in grasping complex concepts, and as a researcher, addressing research gaps with innovative mathematical techniques. My track record as an Assistant Professor, Online Tutor, and Research Assistant has equipped me with strong communication and pedagogical skills, enabling me to translate intricate technical ideas into accessible insights. If you're seeking an expert who can drive impactful machine-learning solutions while prioritizing transparency and reliability, let's connect. Together, we can harness the power of data to make informed decisions that shape industries and empower innovation. Key skills: - Machine learning: Deep Neural Network - PyTorch, Natural Language Processing - NLTK, Hugging Face, SpaCy, Optuna, AX, Recurrent Neural Network, Graph Neural Network - Data analysis: Hypothesis testing, SciPy, sklearn, Matplotlib, Plotly, Jupyter, Power BI, Orange, Rapid Miner, Weka, SAS - Programming: Python, C/C++, JAVA, R (intermediate), SQL, MySQL, VB.NET, C#.NET, VB6 - Web: HTML5, CSS3, ASP.NET, PHP, JavaScript