MN Mark Anthony Nene Data Manager · Data Quality & Reporting Systems
About

Data work built on structure, accuracy, and clean handoff.

I focus on data work that needs careful cleaning, clear logic, documentation, and outputs that other people can review and reuse.

What I bring

Structured analysis with practical reporting value.

My focus is not only the final answer, but also the process behind it: clean inputs, repeatable steps, documented logic, and outputs that are easy to review.

How I work
  • Accuracy first
  • Repeatable workflow design
  • Clear documentation and reviewable outputs
  • Business-ready reporting outputs
Selected strengths
  • Identified a 230,000x output gap between urban and island economies and documented the pattern for clearer economic analysis.
  • Built a dashboard for a $5M+ sales dataset to review discount behavior, category performance, and revenue trends.
  • Created a Python cleaning workflow for 4,400+ records with documented checks and audit-friendly outputs.
Tools & Focus Areas

Practical tools for data cleaning, reporting, QA, and analytics support.

Grouped for quick review without turning the tools section into a long paragraph.

Power BI Excel Google Sheets SQL Python Data Cleaning Reporting Audit Workflow Power BI Excel Google Sheets SQL Python Data Cleaning Reporting Audit Workflow Power BI Excel Google Sheets SQL Python Data Cleaning Reporting Audit Workflow
Dashboards KPI Design JSON Parsing ETL Documentation Automation QA Business Analysis Dashboards KPI Design JSON Parsing ETL Documentation Automation QA Business Analysis Dashboards KPI Design JSON Parsing ETL Documentation Automation QA Business Analysis
Window Functions Forecasting Data Validation Process Design Operational Accuracy Skip Tracing Structured Systems Decision Support Window Functions Forecasting Data Validation Process Design Operational Accuracy Skip Tracing Structured Systems Decision Support Window Functions Forecasting Data Validation Process Design Operational Accuracy Skip Tracing Structured Systems Decision Support
Experience

Experience in data operations, QA, reporting support, and workflow documentation.

My experience is centered on organizing raw information, checking data quality, improving repeatable processes, and preparing outputs for real operational use.

Role

Data Manager · Real Estate Data Specialist

GSH Investments
Remote · Feb 2026 to Present
Work sample PDF

Manage daily public-record data workflows for real estate prospecting, including extraction, cleaning, skip tracing, verification, and QA.

  • Pull foreclosure, probate, tax, and property records from public county sources for downstream use.
  • Clean, deduplicate, standardize, and audit records in Google Sheets-based workflows.
  • Use research tools and manual verification to enrich owner information and improve lead quality.
  • Track data-quality issues, spot-check outputs, and improve repeatable operating processes.
Google SheetsData QASkip TracingProcess Design
Role

Administrative Support and Data Associate

Lifewood Data Technology
Sep 2023 to Jan 2026
Experience showcase

Supported data operations, document checking, validation, reporting, and process accuracy in a structured business environment.

  • Maintained operational records and checked documents for completeness and consistency.
  • Prepared organized data outputs for review, monitoring, and reporting.
  • Improved routine data-handling tasks through structured templates and review steps.
DocumentationQuality ChecksReportingOperations