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GrekoLabs.

SAS · Reporting · Data automation

José Schwarzember

Senior SAS Developer & Data Automation Specialist

Building reliable data workflows through SAS development, reporting automation, and enterprise data processing.

13+ years of professional experience · 8+ years in SAS development

01 / INPUTData
02 / PROCESSProcessing
03 / OUTPUTAutomation
GREKOLABS CORE
DataProcessingAutomation

Professional & project tools

  • SAS
  • SAS Macro
  • PROC SQL
  • Python
  • PostgreSQL

Experian · 2013 — Present

Professional experience

Software and data automation, built and maintained in production.

June 2018 — Present

SAS Developer

Experian

SAS development, enterprise reporting and repeatable data processing. SAS Macro, PROC SQL, FREQ and MEANS; SAS formats; Excel, Word and PDF outputs; period-to-period checks and automated report distribution.

Scope and responsibilities

Integration with Hive through SAS LIBNAME and SQL Pass-Through, and IBM DB2 on Linux and Mainframe. Production report maintenance, versioning and metadata registration; support for client-supplied SAS programs and CPORT files. Historically, a two-person team supported approximately 10,000 production programs with weekly, monthly and quarterly runs; a shared maintenance and operational responsibility.

January 2013 — June 2018

Public Records / Web Scraping

Experian

Data extraction and automation with C#, Selenium, XSLT, SQL and Windows Services. Built scraping robots and contributed to a reusable framework with shared libraries and standardized routines.

Scope and responsibilities

HTML transformation and SQL data integration, with TortoiseSVN version control. Designed, developed and deployed a Windows Service for processing manually collected records and images.

Selected contributions

>80% shorter runtimes

SAS / Hive report optimization

Helped reduce selected reports from roughly eight hours to one hour or less through SAS code changes, testing and log-based performance comparisons. A Specialist colleague proposed aggregating in Hive with GROUP BY; I contributed to its implementation and validation.

Windows Service in production

Automated records integration

Developed a C# service that detected ZIP files, identified their source, processed images, retrieved XSLT transformations and loaded structured records and images into SQL tables. It replaced manual transformation and loading steps.

The person behind the projects

Senior SAS Developer & Data Automation Specialist

Hi, I’m José Gregorio Schwarzember.

I enjoy turning analyst requirements into dependable tools and reports. My work at Experian combines SAS development, practical problem-solving and the care that production data processes require.

Professional capabilities

  • SAS development
  • Reporting automation
  • Data integration & processing

Complementary skills: intermediate Python and basic SQL. I am developing data engineering skills and learning machine learning through guided exercises.

Selected work

Ideas you can explore.

Personal and learning projects exploring data and applied machine learning, complementing my professional work in SAS.

Bitcoin Analytics market dashboard showing a real historical price chart and indicators.Application screenshot

Data engineering & analytics

Bitcoin Analytics

Explore Bitcoin’s historical data, examine market indicators, and assess data quality.

  • Python
  • PostgreSQL
  • FastAPI
View case
Problem
Historical market data needs context and quality checks before it can support analysis.
Contribution & scope
Created and developed as my own personal project, motivated by my interest in Bitcoin and historical market data.
Solution
Binance candle collection, PostgreSQL storage, interactive price and indicator charts, and diagnostics for coverage, missing candles and integrity. Market, Data Quality, Forecast and ML remain separate views.
Validation
The working demo queries stored data. Browser tests check reports, chart interactions, exports and incomplete-data states.
Limits
Statistical and ML outputs are experimental, not investment advice. Stored data is not a live quote; insufficient daily coverage is shown explicitly.
Open demo
Rental Analytics dashboard showing price distributions and capacity charts for Santiago.Application screenshot

Data visualization

Rental Analytics

Compare prices, neighbourhoods, and guest capacity for tourist accommodation in Santiago.

  • Python
  • Next.js
  • Leaflet
View case
Problem
Accommodation prices are difficult to compare without considering location, room type and guest capacity.
Contribution & scope
Adapted from a hands-on MIT learning exercise for the GrekoLabs rental analytics demo.
Solution
A Santiago dashboard built from public Inside Airbnb data: price filters, distributions, neighbourhood comparisons, capacity charts and an interactive map.
Validation
Filters, charts and map are checked against the same PostgreSQL report, including outliers and missing-data states.
Limits
A descriptive snapshot, not a live listings service, booking platform or rental-price prediction. Source and dataset date remain visible in the demo.
Open demo
Emotion AI classifying the public NASA astronaut sample with real CPU inference.Application screenshot

Computer vision

Emotion AI

Try local facial expression classification powered by a Keras model.

  • TensorFlow
  • Keras
  • OpenCV
View case
Problem
A facial-expression prototype needs an understandable inference workflow and visible limitations.
Contribution & scope
Practical participation in a guided machine learning project, exploring the facial-expression inference workflow.
Solution
Upload a JPG or PNG with one face; inspect the detected crop, 48 × 48 grayscale input and original outputs from an existing Keras model, running on CPU.
Validation
Technical tests verify inference and handling of missing or multiple faces. They do not establish classifier accuracy.
Limits
Classifies facial expressions in still images, not audio, text or live video. Four saved classes; scores are not certainty or a measurement of a person's actual emotions.
Open demo

Demos run on the local GrekoLabs backend.

Education & certifications

University education, professional learning and historical certifications.

2007

Ingeniero Informático

Universidad Alejandro de Humboldt · Caracas, Venezuela

University degree. Original award title: Ingeniero Informático.

January 17 — May 10, 2026

Applied AI and Data Science Program

MIT Professional Education

Completed professional education program, supported by a certificate.

2011

MCPD Windows Developer

Microsoft

Historical Microsoft certification, obtained in 2011.

2018

SAS 9.4 Programming Fundamentals

SAS Institute

Completed training course.

Open to international remote opportunities

Let’s talk about your data workflows.

SAS development, reporting and data automation. Based in Chile.

Contact email

[email protected]

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