Data • Predictive Analytics • Automation • Business Systems

I build structured systems from messy operations, large datasets, and real business problems.

Email · LinkedIn

I work at the intersection of data analytics, predictive systems, automation, and product operations.

My focus is turning unstructured workflows and high-volume data into dashboards, validation frameworks, internal tools, pipelines, and decision-ready systems that teams can actually use.

I am especially interested in large-scale data handling for prediction, time-series analysis, and operational analytics where data quality, temporal logic, and business context matter as much as the model.

• End-to-end execution: from problem framing to a working system
• Analytics and BI workflows with Python, SQL, PostgreSQL, Power BI, Excel, and ETL pipelines
• Prediction-oriented data work: feature engineering, temporal validation, leakage prevention, and evaluation workflows
• Product thinking for admin tools, client workflows, CRM-style processes, and operational visibility
• Strong emphasis on structure, documentation, maintainability, and practical outcomes

_{Focus areas: analytics, prediction, automation, and business systems.}

Runnable portfolio edition of a quantitative strategy-validation framework built around realistic execution, temporal validation, testing, and synthetic demo data.

• Designed to test whether a trading hypothesis is robust enough to survive real validation gates
• Covers time-ordered data handling, feature generation, causal resampling, and realistic execution assumptions
• Demonstrates predictive workflow validation, time-series research software, and disciplined evaluation

Operations platform spanning a public site, client portal, CRM-style workflows, and admin visibility.

• Structured for staged rollout: local-first development now, integrations later
• Covers client/admin separation, internal workflows, document handling, and operational structure
• Demonstrates product architecture, workflow design, and systems thinking

End-to-end analytics project turning raw retail transactions into business intelligence.

• Built a reproducible ETL pipeline and PostgreSQL-backed reporting flow
• Modeled revenue, margin, customer, and store performance
• Designed to answer real business questions with SQL and BI reporting

Document intelligence system focused on ingestion, retrieval, AI-assisted Q&A, and deployment workflows.

• Structured Python application with tests, CI, and deployment automation
• Explores document processing and AI-assisted information retrieval
• Shows applied AI work with an engineering-first approach

Computer vision operations prototype for livestock counting and movement tracking.

• Combines detection, tracking, directional logic, and validation workflows
• Explores real-world operational use of computer vision
• Highlights experimentation, evaluation, and technical R&D

• Data & BI: SQL, PostgreSQL, Power BI, Excel, Power Query, DAX
• Python & analytics: Python, Pandas, NumPy, Jupyter, ETL, pytest
• Large-scale data & prediction workflows: time-series processing, feature engineering, validation pipelines, and prediction-ready datasets
• Systems & product: workflow design, internal tools, operations visibility, modular architecture
• Engineering: Git, GitHub, Docker, CI workflows, and structured documentation

• Associate degree in IT Networking from Keiser University

I am currently deepening my work in advanced SQL, business intelligence, automation, predictive analytics, and systems that connect operations with clearer decision-making.

• Data Analyst
• BI Analyst
• Operations Analyst
• Analytics Engineer
• Technical Operations / Business Systems
• Junior Data Scientist / Predictive Analytics

If you are hiring someone who can translate business needs into working systems, data products, and prediction-oriented workflows, I would be glad to connect.

• Email: samigrullon11@gmail.com
• LinkedIn: sami-grullon-0a0536189