Lillia A.

I hold a Bachelor's degree in Computer Science with a focus on Artificial Intelligence and Machine Learning, which paved the way for my Master of Science in Data Science. My academic journey has been rich and varied, delving into the depths of algorithms, data structures, and software engineering, and later, gaining a robust understanding of big data, statistical modeling, and data mining. Professionally, my experience spans academia and industry, having worked as a Data Scientist and Machine Learning Engineer. I've applied machine learning algorithms to real-world problems such as customer segmentation and fraud detection and have contributed to advances in computer vision and natural language processing. My technical acumen includes a suite of tools and languages like scikit-learn, Python, R, and TensorFlow. Committed to continuous professional development, I have supplemented my knowledge through seminars, conferences, and online courses. I am passionate about sharing my expertise, mentoring newcomers to the field, and nurturing the next generation of data scientists. My comprehensive academic background, diverse professional experience, and dedication to lifelong learning render me well-equipped to navigate and contribute to the dynamic fields of computer science and data science.