Data Day - Apr 24
25 talks in this track
Python on the Pitch: How Germany will win World Cup 2026
talkWe will dive into the fascinating world of football analytics, showcasing how to collect and process match data (e.g., Hudl Statsbomb, Sportmonks, and Understat), including player tracking, event logs...
Automate Brag Document Writing with LLMs
talkA brag document is a powerful tool to highlight your work by making it visible, measurable, and demonstrating its real impact on you and your organisation - but such a document can be time-consuming t...
Working for a Faster World: Accelerating Data Science with Less Resources
talkIn data science, speed matters as much as accuracy, especially when users expect quick results. This talk explores simple yet effective techniques to boost performance and responsiveness on data-centr...
Accelerating privacy-enhancing data processing
talkOur mission is simple but profound: to improve and extend lives by learning from the experience of every person with cancer. This talk explains how we transform sensitive data from heterogeneous envir...
From Chaos to Control: Automating BI Tools with Pydantic and Python
talkMaintaining Business Intelligent Tool (BI) governance, managing permissions, syncing documentation, and handling schema changes, can be chaotic. This talk explores how Python, Pydantic, and smart desi...
Top 5 Lessons from a Senior Data Scientist
talkA successful data scientist needs to have solid coding skills and stay up to date with the latest artificial intelligence and machine learning algorithms. However, there are many other skills and expe...
Variable Selection: What your model can't tell you
talkVariable selection is often left up to an algorithm. However, controlling for some variables can improve measurement accuracy, and thus overall performance. On the other hand, certain "bad" controls c...
Testable data pipelines
talkThe "data build tool" (DBT) was designed to unlock software engineering best practices for SQL-based data pipelines: pipelines as version controlled directed acyclic graphs (DAGs) consisting of testab...
Beyond dbt: Modern SQL Transformation and Lineage with sqlglot and sqlmesh
talkHear more about the evolving landscape of SQL transformation tools and data lineage challenges. Explore how sqlglot enables powerful SQL parsing and transformation capabilities, and see practical demo...
Beyond Deployment: Continuously Adding Features to Drive Marginal Gains in Models
talkMachine learning models are never truly “done.” As data evolves, so should the models that rely on it. But how can we ensure continuous improvement without costly retraining or manual intervention? In...
The Power of Python for Data Management (or How You’ve Been Doing Data Management All Along Without Even Realizing It)
talkAre you using Airflow or Pandas? Great! You've contributed to better data management at your organization. The breakthrough of AI has reignited focus on high-quality data and effective data govern...
Build & Deploy Apps like a (pro) Data Scientist using Streamlit
workshopDo you ever find it complicated to learn the complexities of a traditional web framework to push your data science work online? Worry no more! Streamlit might help speed things up as it is designed fo...
Using feature stores to deliver awesome models
workshopLaurynas Stašys, Mantas Cepulkovskis
In today’s fast-paced machine learning environment, the ability to efficiently manage and reuse features across multiple models is crucial. This workshop explores how leveraging a feature store can st...
Orchestrating an end-to-end Data Engineering Workflow: Leveraging Python in Apache Beam and Airflow
workshopThis talk explores the synergy between Apache Beam and Apache Airflow, demonstrating how to create a robust, end-to-end data engineering workflow. We'll dive into the challenges of orchestrating compl...
How I tracked my stocks with Python
talkIn this talk, I’ll share how I began trading stocks and why I turned to Python to track my performance—along with the abundance of surprises that came with it. We’ll walk through the building blocks o...
A Crash course in Time Series Forecasting from Naive to Foundational
talkForecasting is a common activity that has clear business value in various domains but it is not a very common skill that Data Scientists have or feel confident about. In this crash course I will cover...
Investing: Technical Analysis libraries in Python
workshopWe will explore the landscape of technical analysis libraries available for the Python language, including popular choices like TA-Lib (aka talib), Pandas TA, and Technical Analysis (aka bukosabino/ta...
Data Warehouses Meet Data Lakes
talkMany organizations have migrated their data warehouses to datalake solutions in recent years. With the convergence of the data warehouse and the data lake, a new data management paradigm has emerged ...
cluster-experiments: A Python library for end-to-end A/B testing workflows
talkIn this talk, we introduce cluster-experiments, a Python library designed to facilitate end-to-end A/B testing workflows, including power analysis, experiment analysis, and variance reduction techniqu...
Cutting the price of Scraping Cloud Costs
talkA case study of rewriting a simple data pipeline involving Python, a pinch of Go, Git workflows, Airflow, Postgres and Cloud. Investigating some common assumptions and principles of designing data pip...
Organize your data stack using Dagster
talkAn intro to the Dagster open-source orchestration tool. Data Tool Stack. What is Dagster, and who is it for? What are its main use cases? Testing the data and the code. Deployment ideas to produc...
Smarter Retrieval, Better Generation: Improving RAG Systems
talkGood retrieval performance is key to an effective RAG system, as it ensures relevant information is selected, directly impacting augmentation and generation quality. My presentation focuses on RAG ind...
Temporal: Bulletproof Workflows
talkTemporal is an open source, distributed, and scalable workflow orchestration platform designed to execute mission-critical business logic with resilience. Manage failures, network outages, flaky endpo...
Image deduplication using embeddings
talkThis presentation examines approaches for detecting and eliminating near-duplicate images across datasets ranging from small collections to repositories containing millions of images. We will compare ...
Real-Time Data Analytics at Scale: From Ingestion to Retrieval
talkReal-time data analytics is essential for powering modern applications like monitoring, personalization, search, and to some extend, RAG pipelines. However, building systems that can handle real-time ...