A free 1-hour community session with Aki, Sai Kumar, and Karun. Master how the top data scientists and leaders are using Claude to accelerate analysis, automate workflows, and make better decisions faster.
Sun, Jul 12, 2026
2:00 PM PDT
10:00 PM BST (Sun)
Online (Zoom)
Link sent on register
1 hour
Live, with Q&A
What this session covers
Most data scientists are brilliant at building models — the gap is speed and communication. This session shows how senior DS practitioners use Claude to compress weeks of work into hours, and how to translate complex findings into the clear, confident outputs that actually move decisions.
No intro fluff: we assume you know your way around Python and statistics. This is about upgrading your workflow.
Agenda
Stop second-guessing test selection and assumption checks. Use Claude to pressure-test your methodology in real time, surface edge cases, and explain your reasoning in plain English when stakeholders push back.
Generate, evaluate, and document feature ideas in minutes. Feed Claude your schema and domain context and get back a prioritised list of candidates worth testing.
The part most DS courses skip. Take a confusion matrix, an AUC score, or a coefficient table and turn it into something a VP of Product will act on — walked through live.
Use Claude to write methodology documentation, docstrings, and notebook summaries that hold up under technical review. Stop treating documentation as an afterthought.
Run lit reviews to find papers that already solved your problem and weigh model choices with their pros and cons. Diagnose why a model underperforms on specific cases — which assumptions or settings cause it and how to fix them — plus practical ways to test your work.
What you’ll take away
A prompt library tailored to the DS workflow — covering statistical reasoning, feature engineering, and stakeholder communication — plus a live-built notebook you can adapt immediately.
Data scientists and ML practitioners who want to move faster without cutting corners. You should be comfortable with Python and have some experience taking models to production or presenting findings to non-technical audiences.
Speakers
Dr. Aki Wijesundara
Co-Founder, Snapdrum · Senior AI Advisor, United Nations
Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google's AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.
He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.
Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.
Sai Kumar Bysani
Lead Data Analyst, BlueCross BlueShield of South Carolina
Sai Kumar Bysani is a Lead Data Analyst at BlueCross BlueShield of South Carolina, where he applies machine learning and GenAI to healthcare data at scale. He holds an MS in Data Science from the University of Connecticut and holds 4 cloud certifications across AWS, Azure, and GCP with deep hands-on expertise in Python, TensorFlow, PyTorch, LangChain, and AWS SageMaker.
Karun Thankachan
Senior Data Scientist, Walmart E-Commerce
Karun Thankachan is a Senior Data Scientist at Walmart E-Commerce, where he specializes in Recommender Systems, NLP, and Information Retrieval to improve item selection and availability at scale. He holds an MCDS degree from Carnegie Mellon University and has worked across E-Commerce, FinTech, PXT, and EdTech accumulating several published papers and 2 patents in Machine Learning.
Limited seats
Zoom link and calendar invite arrive in your inbox after you register.