🚕💡 The model is up and running! It predicts ride durations for NY Yellow Taxi trips, and I’m loving the MLOps journey. Now focusing on deploying the model and automating the process. #DataScience #AI #MachineLearning #MLOps #ZoomCamp #DataTalksClub

📊💻 Just completed the linear regression model to predict ride durations based on data from Jan-Feb 2023. Now on to tuning and integrating the model into a Docker container. Next steps ahead! #MachineLearning #DataScience #MLOps #ZoomCamp #DataTalksClub

🗽🚖 Starting with the NY Yellow Taxi dataset from Jan-Feb 2023! Preparing to build a regression model to predict ride durations. Time to dive into the data and start exploring! #MLOps #ZoomCamp #DataTalksClub #MachineLearning

📊 Final product: 3 dashboards in Looker Studio with key insights on SF bike usage in 2023–2024.

From messy CSVs to visual stories — loving this data journey 🚴‍♀️

#dezoomcamp #DataTalksClub #dataengineering

🔍 Project Goals:
• Avg trip time & distance
• Most common bike type
• Most active user type
• Peak ride hours
• Most popular stations

Happy to say: mission accomplished ✅

#dezoomcamp #DataTalksClub #dataengineering

📦 Raw bike trip data and Bay Area counties were loaded into GCS, transformed with dbt, and stored in BigQuery.

Every piece automated with Kestra flows and IaC with Terraform 💪

#dezoomcamp #DataTalksClub #dataengineering

⚡ E-bikes are on the rise in SF!

This project revealed fascinating insights about how different users move around the city on bikes.

Infrastructure: Terraform
Orchestration: Kestra
Transformations: dbt
Warehouse: BigQuery

#dezoomcamp #DataTalksClub #dataengineering

👀 Curious when people ride shared bikes most often?

I used Bay Wheels data to analyze hourly & weekly usage trends and visualized them with Looker Studio.

GCP + dbt + Kestra = smooth orchestration 💡

#dezoomcamp #DataTalksClub #dataengineering

🛠️ From raw CSVs to dashboards! Built a modern data pipeline using GCS, Terraform, Kestra, and dbt to analyze shared bike usage patterns in the SF Bay Area.

Found answers to key questions like trip duration, user types & popular stations.

#dezoomcamp #DataTalksClub #dataengineering

🚴‍♂️ Just wrapped up a data engineering project analyzing Bay Wheels bike trips in the San Francisco Bay Area using real data from 2023-2024.

Used Terraform, Kestra, dbt, BigQuery & Looker Studio to build a full batch data pipeline.

#dezoomcamp #DataTalksClub #dataengineering

Mission complete! ✅ Just finished the #DataEngineering homework: identifying the longest uninterrupted streak of taxi rides in a 5-minute window using #Kafka and #Flink. Feeling proud of the progress so far! 🚖

#DataTalksClub #Streaming #Kafka #Flink #PyFlink #DataScience #TaxiNY

Wrapping up Module 6 of #DataEngineering and diving into the homework! 📝 The task: find the longest uninterrupted streak of taxi rides in a 5-minute window using #Kafka and #Flink. Challenge accepted! 🚖💨

#DataTalksClub #Streaming #Kafka #Flink #PyFlink #DataScience

Halfway through Module 6 of #DataEngineering! 🖥️ Learning how to process real-time data streams with #Kafka and #Flink. I’m now applying what I've learned to the Taxi NY Green dataset. Excited for what comes next! 🚖✨

#Streaming #DataTalksClub #Kafka #Flink #PyFlink #DataScience

Just kicked off Module 6 of the #DataEngineering Zoomcamp by @DataTalksClub! 🎉 It's all about #StreamProcessing with #Kafka, #Flink, and #PyFlink. Can't wait to get hands-on with real-time data streaming! 🖥️🚀

#Streaming #DataTalksClub #Kafka #Flink #PyFlink

🎉 Final Step: Successfully Built Analytical Views!
The project is complete! After transforming the data, I’ve created models that serve analytical views for various queries in BigQuery. The combination of dbt and BigQuery makes data engineering a smooth ride. Grateful for all the learning in this module! #dbt #DataTalksClub #DataEngineering #GCP #Analytics

🔧 Optimizing Data with dbt Models
I’ve been creating dbt models for multiple queries across the Green Taxi, Yellow Taxi, and FHV datasets in BigQuery. From source tables to final reports, it's amazing to see how dbt handles dependencies, testing, and version control. Ready to run the first models! #DataEngineering #dbt #GCP #DataTalksClub

📊 Exploring dbt for Data Transformation
The journey continues! In this part of the project, I'm learning how dbt models help automate data transformation. I'm building out models in dbt for these taxi datasets to create clean, analysis-ready data in #BigQuery. It’s fascinating to see how everything connects! #DataEngineering #dbt #GCP #ETL #DataTalksClub

🚀 Started Module 4 of #DataEngineering Zoomcamp!
Just kicked off the Analytics Engineering module and I'm diving into transforming the Green Taxi, Yellow Taxi, and FHV NY Taxi datasets loaded in #BigQuery. Excited to see how dbt can help create analytical views for better decision-making! #dbt #DataTalksClub #GCP #AnalyticsEngineering #ETL

This week at the Data Engineer Zoomcamp 2025 by #DataTalksClub
, we're diving into Data warehouse and Big Query.

Special mention to Michael Shoemaker for the insightful lessons, and to
Alexey Grigorev for organizing the sessions.

Let's continue this learning journey together

🔚 Final Results & Lessons Learned
🏆 4th (Public LB) – RMSE: 12.2324
🏅 5th (Private LB) – RMSE: 9.5624
Key takeaways:
✔ Feature engineering & selection are crucial
✔ Encoding strategies impact model performance
✔ Hyperparameter tuning makes a real difference! 🚀

#DataTalksClub #zoomcamp #machinelearning