Regi is turning raw data into intelligent products that drive real decisions
As an analytics engineer with deep expertise in data pipelines, business intelligence, and AI-powered automation, he builds scalable solutions that bridge the gap between complex data systems and meaningful business outcomes.
/ Python/ BigQuery/ dbt/ Airflow/ PostgreSQL/ TensorFlow/ LangChain/ FastAPI/ PySpark/ Looker Studio/ Power BI/ Docker/ ChromaDB/ MLFlow/ Scikit-learn/ n8n/ GCP/ AWS/ Python/ BigQuery/ dbt/ Airflow/ PostgreSQL/ TensorFlow/ LangChain/ FastAPI/ PySpark/ Looker Studio/ Power BI/ Docker/ ChromaDB/ MLFlow/ Scikit-learn/ n8n/ GCP/ AWS
Featured works
All WorksBuild solution, not just product
Get StartedData Analytics & Visualization
Executive dashboards and analytics systems that turn complex datasets into clear operating signals.
AI & Machine Learning
RAG assistants, anomaly detection, forecasting, and model workflows built for production use.
Data Engineering
ETL pipelines, dbt models, Airflow orchestration, and cloud data platforms optimized for cost.
Governance & Quality
Data standards, quality analysis, SDI frameworks, and adoption training for enterprise teams.
API & Backend
FastAPI services, PostgreSQL architecture, Docker deployments, and automation prototypes.
Cloud & Infrastructure
Scalable architecture, CI/CD pipelines, and infrastructure as code to guarantee reliable performance.
Tools & Technologies
The stack I use to ship reliable analytics, automation, and AI systems.
Python
BigQuery
dbt
Airflow
PostgreSQL
TensorFlow
LangChain
FastAPI
PySpark
Looker Studio
Power BI
Docker
Scikit-learn
n8n
GCP
AWS
MLFlow
ChromaDB