Alex Labuda
Senior Data Scientist specializing in machine learning, predictive modeling, and MLOps.
Areas of Expertise
I build end-to-end machine learning solutions that drive measurable business results.
Machine Learning
Developing and deploying predictive models, unsupervised learning solutions, time-series forecasting, and recommendation systems using modern data science frameworks and programming languages.
MLOps
Building robust end-to-end ML pipelines with automated testing, deployment, and monitoring using Google Cloud Platform and Vertex AI.
Data Visualization
Creating interactive dashboards and visualizations that communicate insights effectively using Tableau, Shiny and Quarto Dashboards.
Machine Learning & Data Science Projects
Explore my portfolio of end-to-end machine learning solutions and advanced data science projects.
Event-Driven Call Transcript Classification Pipeline with Vertex AI and Gemini
Real-time machine learning pipeline for processing and classifying call center transcripts for CDP activation. This solution leverages GCP's event architecture for seamless processing.
Customer Segmentation Pipeline with K-Means and Feature Engineering for a Streaming Platform
Advanced customer segmentation pipeline identifying distinct viewer personas for content recommendations and personalization. Implemented in GCP's Vertex AI pipelines.
Technical Skills
The tools and technologies I use to build data science solutions.
Python
langchain, scikit-learn, pandas, numpy
R
tidyverse, tidymodels, ggplot2, shiny
SQL
BigQuery, Snowflake
Tableau
Interactive dashboards and data storytelling
Google Cloud
Vertex AI, BigQuery, Pub/Sub, Cloud Functions
Machine Learning
Supervised, Unsupervised, Time-Series Forecasting
AI
LLMs, RAG, Embeddings, Agents
Media Mix Modeling
Robyn, Bayesian, Multi-Touch Attribution
Ready to Work Together?
I'm currently available for new opportunities and collaborations in data science and machine learning.