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Data Analyst & Scientist

Alex
Rivera

Turning raw data into decisions. I build analytics pipelines, predictive models, and interactive dashboards that help teams act with confidence.

View Projects Resume

5+

Years of experience

40+

Projects shipped

12

Models in production

23%

Avg. churn reduction

Selected Work

All projects
01

Sales Analytics Dashboard

An end-to-end sales performance dashboard built with Python and Plotly Dash, integrating PostgreSQL data to surface regional trends, product category insights, and executive KPIs in real time.

PythonPlotly DashPostgreSQLPandas
02

Customer Churn Prediction Model

A machine learning pipeline predicting subscriber churn with 89.4% accuracy, using gradient boosting on behavioral and demographic features. Deployed as a FastAPI microservice consumed by the CRM team.

Pythonscikit-learnXGBoostFastAPI
03

Climate Data Visualization

An interactive web visualization exploring 140 years of global temperature anomaly data, built with D3.js and Python. Features animated time-series, choropleth maps, and cross-regional comparisons.

D3.jsPythonRObservable

Toolkit

Analytics

  • Python
  • SQL
  • dbt
  • Pandas
  • Snowflake

Machine Learning

  • scikit-learn
  • XGBoost
  • PyTorch
  • MLflow
  • HuggingFace

Visualization

  • Plotly Dash
  • Tableau
  • D3.js
  • Looker
  • Seaborn

Infrastructure

  • Airflow
  • Kafka
  • Docker
  • BigQuery
  • PostgreSQL

Writing

The Art of Data Storytelling: Making Numbers Land

Technical accuracy is necessary but not sufficient. Here's how to frame, structure, and present analytical findings so the people who need to act on them actually will.

Building Interactive Dashboards with Plotly Dash

How to go from a Jupyter notebook to a shareable, interactive analytics dashboard in under a day — covering layout, callbacks, data caching, and deployment on Render.

Exploratory Data Analysis: From Raw Data to Actionable Insights

A practical walkthrough of the EDA workflow I use on every new dataset — from data quality auditing through distribution analysis to relationship mapping — with Python code examples throughout.

Let's talk data.

Open to senior analyst and data science roles.

Get in touch