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Conferences / PyData

PyData Tel Aviv 2025

Nov 5, 2025 · David InterContinental Tel Aviv, Tel Aviv, Israel

Conference
PyData Data science & ML
Dates
Nov 5, 2025
Venue
David InterContinental Tel Aviv
Place
Tel Aviv, Israel
Format
In person
Status
Past
Attendance
—
Sponsor pitch on homepage: "We expect 600 data enthusiasts to attend" (expectation, not a reported headcount).
Website
pydata.org
Recorded
7 sponsors · 31 speaker appearances
Notes
One-day conference. Sponsor logos identified from image filenames; one Bronze logo ("ME") could not be identified and is omitted. Speakers: full list from the pretalx schedule export; affiliations parsed from pretalx speaker bios (null where the bio states no clear current employer/institution).

Ticket prices

TicketPriceValid untilNotesSource
Regular General Admission₪550—pretix.eu

Sponsors 7

Speakers and talks 31

SpeakerCompanyRoleTalkLinks
Dan Ofer—TalkIs This Feature Actually Interesting? ML & LLMs for Automated Insight Discovery (EN)—
Daniel Anderson—TalkRecreational Image Reconstruction with Decision Trees (HE)Video
Dean LangsamSentinelOneTalkUmmm, Actually (HE)Video
Gal BenorPayPalTalkRevealing the Unseen: Leveraging XAI for Deeper Data Insights (HE)Video
Ilana MakoverBluevineTalkLet Your Data Tell Its Story: Building a Lightweight In-House Data Lineage Solution (EN)Video
Ira Yaari—TalkOne does not simply name a child: Analyzing Social Trends with Python and LLM (HE)—
Linoy CohenIntuitTalkEvaluating Your AI Agent: How Do You Properly Measure Performance? (HE)Video
Lior Kupfer—TalkYou Just Play: Teach and learn any guitar riff just by playing it (HE)—
Lukas Hafner—TalkAutonomous LLM-driven research - from data to human-verifiable research papers (EN)—
Maria MurashovaRokkaTalkIntegrating LLMs with Traditional Data Analysis (EN)Video
Miki Tebeka—TalkFaster Pandas: Speed Up Your Code, Shrink Your Cloud Bill (HE)Video
Mor HananovitzLSportsTalkLearning How to Learn in the AI Era (Using Agents as a Use Case) (HE)Video
Moran BeladevBooking.comTalkBuilding the Future of AI Trip Planning: LLMs, Inference Optimization, and Agentic Designs at Booking.com (EN)—
Noa Henig—TalkTabular data Transformed? Tab-PFN Brings Deep Learning to the Table (HE)Video
Noa RadinHoneyBookTalkFrom Quiz to Conversation: Engineering Production-Ready Onboarding Agents (HE)—
Omer MadmonTechnionTalkA Game-Theoretic Perspective on the Recommender (Eco-)System (EN)Video
Ori Cohen—TalkDo You Want to Build a Snowman? Leveraging DBT, SQL and Python to Build Production Data Science Pipelines in Snowflake (HE)—
Ortal AshkenaziWixTalkLearning How to Learn in the AI Era (Using Agents as a Use Case) (HE)Video
Reuven M. Lerner—TalkMarimo: A new notebook (EN)Video
‪Roi Tabach‬‏BlinkopsTalkPutting the "fun" in function calling (HE)Video
Shirli Di Castro ShashuaIntuitTalkEvaluating Your AI Agent: How Do You Properly Measure Performance? (HE)Video
Shuki CohenAI21 LabsTalkHow to Build AI Agents and Keep Your Sanity (HE)Video
Sigal Shaked—TalkTailoring Language Models with Python: Practical SLM Fine-Tuning for Data Scientists (HE)—
Tal IfarganMobileyeTalkAutonomous LLM-driven research - from data to human-verifiable research papers (EN)—
Tal Mizrachi—TalkUmmm, Actually (HE)Video
Tal Mizrachi—TalkTalk Less, Graph More: NLP, Networks and Hamilton Musical (EN)Video
Teddy Lazebnik—TalkAdmiral-Driven ML Framework for Marine Operations and Resource Allocation (HE)Video
Yanir MarmorWeizmann Institute of ScienceTalkMining Parliamentary Gold: Building Hebrew ASR from 9,000 Hours of Knesset Debates (HE)Video
Yoad Snapir—TalkMining Parliamentary Gold: Building Hebrew ASR from 9,000 Hours of Knesset Debates (HE)Video
Yoav GoldbergBar-Ilan UniversityTalkA New Kind of Learning Systems (HE)Video
Yuval GorchoverVoyantisTalkFrom Notebook Chaos to Production Gold (HE)Video

Sources