Machine Learning Interviews Fireside Chat with Susan Shu Chang

Zoom: https://zoom.us/j/92102764263

📚 About the Book: In Machine Learning Interviews, Susan Shu Chang, Principal Data Scientist at Elastic, draws from her extensive experience in fintech, telecommunications, and social platforms to demystify the ML hiring process. Whether you're aiming for roles as an ML engineer, applied scientist, data scientist, or any other ML position, this guide equips you with the knowledge to navigate through even the most selective recruitment processes.

🎙 About the Fireside Chat: Join us for an engaging fireside chat where Susan will share her hard-won insights into successfully navigating ML interviews. From assessing your skills and interests to acing coding assessments and behavioural questions, Susan will guide you through the essential strategies to excel in ML interviews.

💼 Who Should Attend:

• Aspiring machine learning professionals
• Students seeking careers in data science
• Professionals looking to transition into machine learning roles
• Anyone interested in learning about the ML interview process

🎤 Speaker Bio: Susan is a Principal Data Scientist at Elastic (of Elasticsearch), with previous ML experience in fintech, telecommunications, and social platforms. Susan is an international speaker, with talks at 6 PyCons worldwide and keynotes at Data Day Texas, PyCon DE & PyData Berlin, and O’Reilly’s AI Superstream. She writes about machine learning career growth in her newsletter, susanshu.substack.com and is the author of Machine Learning Interviews, published by O’Reilly. In her free time, she leads a team of game developers under Quill Game Studios, with multiple games released on consoles and Steam.

Your Moderator: 

Siphu Langeni is a freelance Data Scientist and AI Consultant, specializing in supporting startups and small to medium-sized enterprises in leveraging their data through AI. Her focus ranges from developing AI strategies to implementing product analytics and deploying ML/AI products.  Previously, Siphu worked at Shopify as a full-stack Data Scientist on the Commerce Algorithms and Capital Algorithms teams. Here, she contributed to building and scaling AI products, empowering merchants to gain a competitive edge in their entrepreneurial endeavors. Notably, her innovative contributions led to her involvement in patenting a color extraction pipeline, enhancing discoverability and product understanding for merchants on the Shopify platform through the United States Patent and Trademark Office (USPTO).  Siphu's career journey is marked by a commitment to lifelong learning and a bold transition from a rewarding role as a Certified Registered Nurse Anesthetist (CRNA), following the completion of her Master of Science in Anesthesia from the University of Michigan - Flint. Her interest in data was sparked during her clinical practice in anesthesia, critical care and trauma, where she recognized the profound impact data could have on patient outcomes, hospital policies and cost savings.  Outside of her professional endeavors, Siphu is passionate about shaping the next generation of data professionals. She dedicates her spare time to mentoring and instructing at Lighthouse Labs, where she has contributed as a subject matter expert for curriculum development in their Data Analytics and Data Science bootcamps.