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una-galhttps://github.com/una-gal/una-gal
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PyLadies Amsterdamhttps://amsterdam.pyladies.com/
Microsoft MVPhttps://mvp.microsoft.com/en-US/MVP/profile/651e811d-f4a7-eb11-b1ac-000d3a53daf4
AI4ALLhttps://aifourall.org/
https://github.com/una-gal#events-as-a-speaker-and-workshop-giver
https://github.com/una-gal#2026
Metrics That Matter: What to Measure and How to Capture Ithttps://github.com/una-gal/event-slides/blob/main/others/Metrics-traction-AI.pdf
Metrics and early traction for startupshttps://github.com/una-gal/event-slides/blob/main/others/Metrics-traction-AI.pdf
How PyLadies Is Shaping the Future of Pythonhttps://lp.jetbrains.com/python-unplugged/
https://github.com/una-gal#2025
Metrics, Traction & AI — Building Your 2026 Growth Strategyhttps://github.com/una-gal/event-slides/blob/main/others/Metrics-traction-AI.pdf
Practical GenAI with Python: Beyond the Hypehttps://www.youtube.com/live/-6kbMY_mOzw?si=YvP107tY38AXtMCQ
Hidden Figures of Python podcast: Episode 10https://pypodcats.live/episodes/ep-10/
PyData Amsterdam Conferencehttps://amsterdam.pydata.org/
Choose Your Own Workshop at DCND 2025https://github.com/pyladiesams/workshop-of-choice-dcnd-jul2025
AI in Finance 2025https://github.com/pyladiesams/ai-in-finance-python-lecture-may2025
Metrics and early traction for startupshttps://github.com/una-gal/event-slides/blob/main/others/Metrics-early-traction.pdf
AI in the Workplace: Augmenting or Dwindling Human Skills?https://www.rsm.nl/discovery/2025/ai-in-the-workplace/
Evaluating LLM-based applicationshttps://github.com/pyladiesams/eval-llm-based-apps-jan2025
https://github.com/una-gal#2024
PyLadies Entrepreneurs and Career Developmenthttps://www.youtube.com/live/V73KeBCzXpM?feature=shared
5 ways to fail scaling MLOps and Responsible AI within your organisationhttps://github.com/una-gal/event-slides/blob/main/conferences/5-MLOps-fails.pdf
AI MVP Prototype Developmenthttps://github.com/una-gal/event-slides/blob/main/others/MVP-prototype.pdf
Data Mesh: Theory vs realityhttps://coalesce.io/podcast/ep-18-data-mesh-with-una-galyeva/
GenAI Leap of faith from PoC to Productionhttps://github.com/una-gal/event-slides/blob/main/conferences/GenAI-from-PoC-to-Prod.pdf
AI in Finance 2024https://github.com/pyladiesams/ai-in-finance-python-lecture-may2024
Combining the Technical and Business Perspectives for Data Meshhttps://open.spotify.com/episode/2zxRmiFwebvWH9YJkD4LBS
The real value of data products and costs of building and maintaining themhttps://github.com/una-gal/event-slides/blob/main/meetups/Data-products-value.pdf
https://github.com/una-gal#2023
5 ways to fail with time serieshttps://youtu.be/5jOW6baXYI4?feature=shared
Practical Data Privacyhttps://youtu.be/2s_wnPo7cOc?feature=shared
Data Contracts in action powered by Python open source ecosystemhttps://youtu.be/YGKqvMhaEVA?feature=shared
AI in Finance 2023https://github.com/pyladiesams/ai-in-finance-python-lecture-may2023
https://github.com/una-gal#2022
ML Best Practiceshttps://github.com/una-gal/event-slides/blob/main/meetups/ML-Best-practices.pdf
An Introduction to Model Drifthttps://github.com/pyladiesams/model-drift-beginner-dec2022
Journey to the cloud: Best practices for Data and AI scaling within Enterprisehttps://github.com/una-gal/event-slides/blob/main/conferences/Data-AI-scaling.pdf
AI in Finance 2022https://github.com/pyladiesams/ai-in-finance-python-lecture-beginner-may2022
Start using Data Models: Outsmart your financial industry competitors todayhttps://youtu.be/6psIoLqh4wY?feature=shared
https://github.com/una-gal#2021
We build a ML pipeline after we deployhttps://youtu.be/eGrUUuqZIhM?feature=shared
Bringing ML Models into Production Bootcamp - Capstone resultshttps://github.com/pyladiesams/bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
Bringing ML Models into Production Bootcamp - Lesson 4https://github.com/pyladiesams/bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
Bringing ML Models into Production Bootcamp - Lesson 3https://github.com/pyladiesams/bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
Bringing ML Models into Production Bootcamp - Lesson 2https://github.com/pyladiesams/bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
Bringing ML Models into Production Bootcamp - Lesson 1https://github.com/pyladiesams/bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
The Hitchhiker's Guide to the Machine Learning Engineering Galaxyhttps://youtu.be/a6DkXpTS20o?feature=shared
https://github.com/una-gal#2020
AI in Finance: On the way to financial singularityhttps://github.com/una-gal/event-slides/blob/main/meetups/AI-in-Finance.pdf
The Hitchhiker's Guide to the Machine Learning Engineering Galaxyhttps://gitnation.com/person/alyona_galyeva/certificates
Human-like Visual Search Application with Small Datahttps://youtu.be/2l_WASP1_1A?feature=shared
Jupyter Refactoring Workshophttps://github.com/pyladiesams/Jupyter-refactoring-beginner-jul2020
Jupyter Notebook Refactoring Series — Part 2https://itnext.io/jupyter-notebook-refactoring-series-part-2-899e40163ead
Reducing production waste with streaming analyticshttps://youtu.be/IR9oMg-A0Wk?feature=shared&t=3590
Jupyter Notebook Refactoring Series — Part 1https://itnext.io/jupyter-notebook-refactoring-series-part-1-adff1b44dfdb
AI Applied: How to stop wildfires through flame and smoke detectionhttps://www.omdena.com/blog/stop-wildfires
https://github.com/una-gal#2019
https://github.com/una-gal#events-as-an-organiser
https://github.com/una-gal#workshops-2026
AgentCamp Amsterdam 2026https://github.com/pyladiesams/agentcamp-amsterdam-mar2026
MLOps Open Source Sprint at Adyenhttps://www.meetup.com/pyladiesams/events/313200903/
Robotics beginner class with MicroPythonhttps://github.com/pyladiesams/robotics-with-micropython-jan2026
https://github.com/una-gal#talks-2026
PyTV x PyLadies Amsterdam speakers Meet and Greethttps://www.meetup.com/pyladiesams/events/313322734/
https://github.com/una-gal#workshops-2025
Building an AI Agenthttps://github.com/pyladiesams/building-ai-agents-nov2025
Lightweight Analytics at Scale: Hands-On with DuckDB & Smallpond in Pythonhttps://github.com/pyladiesams/lightweight-analytics-duckdb-smallpond-oct2025
Building data pipelines with dbt Core and Snowflakehttps://github.com/pyladiesams/data-pipelines-with-dbtcore-snowflake-sep2025
Data science that ships: production-ready pipelines with Kedrohttps://github.com/pyladiesams/kedro-prod-ready-ds-pipelines-aug2025
ScaleDown: Optimize AI prompts to reduce verbosity and carbon footprinthttps://github.com/pyladiesams/optimize-ai-prompts-jun2025
Dapr in Action: From Core Concepts to AI Agentshttps://github.com/pyladiesams/dapr-in-action-may2025
Open source, open pipelines: Data ingestion with modern data stackhttps://github.com/pyladiesams/data-ingestion-modern-stack-apr2025
Introduction to BDD in Pythonhttps://github.com/pyladiesams/bdd-with-python-mar2025
Global AI Bootcamphttps://github.com/pyladiesams/global-ai-bootcamp-mar2025
Evaluating LLM-based applicationshttps://github.com/pyladiesams/eval-llm-based-apps-jan2025
https://github.com/una-gal#talks-2025
AI in action: From ML models to gameshttps://github.com/pyladiesams/ai-in-action-from-ml-models-to-games-jul2025
https://github.com/una-gal#workshops-2024
Introduction to Data Storytellinghttps://github.com/pyladiesams/intro-data-storytelling-dec2024
LLMs in Action: How Booking.com Scans, Detects, & Monitors Fake & Unsafe Contenthttps://github.com/pyladiesams/llms-scan-reviews-nov2024
What's inside the box? An introduction to explainability in financehttps://github.com/pyladiesams/intro-to-explainabilty-in-finance-oct2024
Build a Data Science Portfolio that Gets You Noticedhttps://github.com/pyladiesams/how-to-build-a-data-science-portfolio-that-gets-you-noticed-aug2024
LLM Guardrailshttps://github.com/pyladiesams/llm-guardrails-jul2024
Introduction to LLM Agents with LangChainhttps://github.com/pyladiesams/introduction-to-llm-agents-with-langchain-jun2024
NLP projects with spaCyhttps://github.com/pyladiesams/nlp-projects-with-spacy-may2024
An Introduction to RAG with Elastichttps://github.com/pyladiesams/intro-RAG-elastic-apr2024
Global AI Bootcamphttps://github.com/pyladiesams/global-ai-bootcamp-mar2024
Python Open Source Sprintshttps://github.com/pyladiesams/python-oss-sprints-mar2024
Fine-tuning text-to-image diffusion models for personalization and morehttps://github.com/pyladiesams/personalization-with-text-to-image-diffusion-models-feb2024
An introduction to conformal predictionhttps://github.com/pyladiesams/conformal-prediction-jan2024
https://github.com/una-gal#workshops-2023
Privacy-Aware Machine Learning and Data Sciencehttps://github.com/pyladiesams/privacy-aware-ml-ds-nov2023
An introduction to geodata in Pythonhttps://github.com/pyladiesams/geodata-in-python-oct2023
Getting started with Large Language Modelshttps://github.com/mlops-and-crafts/llm-workshop
Time series forecasting for businesshttps://github.com/pyladiesams/time-series-forecasting-sep2023
Storytelling Mindset: Transforming Tech Careers By Crafting Powerful Connectionshttps://github.com/pyladiesams/storytelling-mindset-aug2023
An Introduction to Pyrohttps://github.com/pyladiesams/pyro-may2023
Federated Machine Learning with Flower: Packaging, Monitoring, Securinghttps://github.com/mlops-and-crafts/federated-learning/
An introduction to Data Science using Snowflakehttps://github.com/pyladiesams/snowflake-apr2023
Global AI Bootcamphttps://github.com/pyladiesams/global-ai-bootcamp-mar2023
101 Django Rest Frameworkhttps://github.com/pyladiesams/101-django-rest-framework-jan2023
https://github.com/una-gal#talks-2023
Careers with Python: Volume 2https://github.com/pyladiesams/careers-with-python-jun2023
PyLadies Amsterdam + MLOps.Community Meetuphttps://github.com/pyladiesams/mlops-event-feb2023
https://github.com/una-gal#workshops-2022
An Introduction to Model Drifthttps://github.com/pyladiesams/model-drift-beginner-dec2022
Deep Learning with PyTorchhttps://github.com/pyladiesams/deepLearningPyTorch-beginner-nov2022
Global AI Developer Dayshttps://github.com/pyladiesams/global-ai-developer-days-beginner-oct2022
An introduction to cloud-native web applicationshttps://github.com/pyladiesams/cloud-native-web-app-beginner-aug2022
Python 101https://github.com/pyladiesams/python101-beginner-jul2022
A Deep Dive into Containerized Model Serving with FastAPIhttps://github.com/pyladiesams/containerized-model-serving-with-fastapi-advanced-jun2022
An Introduction to Graph Databases with GQLAlchemy and Pythonhttps://github.com/pyladiesams/graphdbs-gqlalchemy-beginner-mar2022
A Deep Dive into Fairness in Machine Learninghttps://github.com/pyladiesams/ml-fairness-advanced-feb2022
Global AI Bootcamphttps://github.com/pyladiesams/global-ai-bootcamp-beginner-jan2022
https://github.com/una-gal#talks-2022
Careers with Python: Volume 1https://github.com/pyladiesams/careers-with-python-beginner-apr2022
https://github.com/una-gal#workshops-2021
An Introduction to Communicating about your Modelshttps://github.com/pyladiesams/communicating-about-models-beginner-dec2021
An Introduction to Fairness in Machine Learning using Fairlearnhttps://github.com/pyladiesams/ml-fairness-beginner-nov2021
An Introduction to Product List Sortinghttps://github.com/pyladiesams/product-sorting-beginner-sep2021
Bringing ML Models into Production Bootcamp - Capstone resultshttps://github.com/pyladiesams/bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
Bringing ML Models into Production Bootcamp - Lesson 4https://github.com/pyladiesams/bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
Bringing ML Models into Production Bootcamp - Lesson 3https://github.com/pyladiesams/bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
Bringing ML Models into Production Bootcamp - Lesson 2https://github.com/pyladiesams/bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
Bringing ML Models into Production Bootcamp - Lesson 1https://github.com/pyladiesams/bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
An introduction to Web Scraping with Python and Azure Functionshttps://github.com/pyladiesams/web-scraping-beginner-may2021
Easy Fairish: Basics of Classification and Biashttps://github.com/pyladiesams/classification-bias-beginner-apr2021
An introduction to delivering technical presentations with confidencehttps://github.com/pyladiesams/tech-presentations-beginner-mar2021
An introduction to FOSS contributionshttps://github.com/pyladiesams/FOSS-beginner-jan2021
https://github.com/una-gal#talks-2021
Careers with Python: Volume 0https://github.com/pyladiesams/Careers-With-Python-Beginner-feb2021
https://github.com/una-gal#workshops-2020
Introduction to NLPhttps://github.com/pyladiesams/NLP-beginner-nov2020
Introduction to TF-Hub & Object Detection using TF-Hubhttps://github.com/pyladiesams/tf-hub-beginner-oct2020
Data Interpretation eveninghttps://github.com/pyladiesams/data-interpretation-beginner-sep2020
Interactive Data Visualisation with Bokehhttps://github.com/pyladiesams/Bokeh-visualisation-beginner-aug2020
Jupyter Refactoring Workshophttps://github.com/pyladiesams/Jupyter-refactoring-beginner-jul2020
Python Bootcamp Data Analysis for Beginners - Capstonehttps://github.com/pyladiesams/Bootcamp-Data-Analysis-beginner-apr-may2020
Python Bootcamp Data Analysis for Beginners - Lesson 4https://github.com/pyladiesams/Bootcamp-Data-Analysis-beginner-apr-may2020
Python Bootcamp Data Analysis for Beginners - Lesson 3https://github.com/pyladiesams/Bootcamp-Data-Analysis-beginner-apr-may2020
Python Bootcamp Data Analysis for Beginners - Lesson 2https://github.com/pyladiesams/Bootcamp-Data-Analysis-beginner-apr-may2020
Python Bootcamp Data Analysis for Beginners - Lesson 1https://github.com/pyladiesams/Bootcamp-Data-Analysis-beginner-apr-may2020
The Right Way To Do Azure Functions in Pythonhttps://github.com/pyladiesams/Azure-functions-beginner-mar2020
Object-oriented programming in data sciencehttps://github.com/pyladiesams/OOP-advanced-jan2020
A Deep Dive into OOPhttps://github.com/pyladiesams/OOP-advanced-jan2020
https://github.com/una-gal#talks-2020
aggregate(PyLadies, PyAmsterdam, ETL).byebye(2020)https://github.com/pyladiesams/ETL-intermediate-dec2020
https://github.com/una-gal#workshops-2019
A Deep Dive into Advanced Pandashttps://github.com/pyladiesams/Pandas-advanced-nov2019
An introduction to PySparkhttps://github.com/pyladiesams/pyspark-nov2019
An introduction to Git, GitHub and Python virtual environmentshttps://github.com/pyladiesams/github-nov2019
An introduction to Flask: Create a web app and host it in the cloudhttps://github.com/pyladiesams/flask-okt2019
Visualize data with Seaborn & Matplotlibhttps://github.com/pyladiesams/vizualisation-sep2019
Test Test Testhttps://github.com/pyladiesams/pytest-aug2019
https://github.com/una-gal#talks-2019
pyladiesams/eval-llm-based-apps-jan2025https://github.com/pyladiesams/eval-llm-based-apps-jan2025
8 https://github.com/pyladiesams/eval-llm-based-apps-jan2025/stargazers
6 https://github.com/pyladiesams/eval-llm-based-apps-jan2025/forks
pyladiesams/model-drift-beginner-dec2022https://github.com/pyladiesams/model-drift-beginner-dec2022
2 https://github.com/pyladiesams/model-drift-beginner-dec2022/stargazers
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