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Matheus Melquiades - Data Entry & Content Formatting Specialist

Location: São Paulo, Brazil

Compensation range discussed (USD): $1,000 - $1,300/month

LinkedIn Profile | email: melquiadesmatheusgomes@gmail.com | Phone: +55 31 984440860

Schedule Availability (EST): 12:00 PM - 10:00 PM


Summary

Multilingual Data Entry Specialist with a Bachelor's Degree in Economics and over 2 years of experience in data management, validation, and report generation, at Jones Software a US-based PropTech company. He expertly processes large unstructured datasets—auditing up to 10,000 pages of documents per client—to extract critical data from leases, Memorandums of Insurance (MOIs), and COIs for accounts like Centennial Real Estate and Rexford Industrial. Utilizing OCR tools alongside advanced Excel and Google Sheets functions (VBA, macros, HLOOKUP, XLOOKUP), he structures complex data into internal platforms while maintaining a strict accuracy rate. Additionally, his tenure as a Research Associate at UFOP Finance Club demonstrates his ability to format financial analyses into polished corporate deliverables and visual reports using PowerPoint and Canva, directly aligning with precise content presentation requirements.


Meet Matheus

This video from our screening interview provides a look into Matheus's background and experience:


Candidate Snapshot

US-based Data Entry Experience

Direct US Market Support: Exclusively supports US operations for corporate clients. Collaborates asynchronously with remote teams via Slack, actively identifying and resolving compliance discrepancies to align with strict US business standards.  

Real Estate & Insurance Exposure: Navigates client-specific workflows for key US accounts (including Espinos), verifying complex policy structures such as AM Best ratings, financial size categories, and additional insured requirements.

Large Datasets & Visual Documentation Formatting

Data Cleaning & Project Execution: Successfully collaborated on a high-priority data cleanup project involving the manual re-auditing and structural correction of 139 complex client entries. Validated unstructured information against shifting compliance requirements and accurately mapped the corrected data into the internal platform within a two-week timeframe.  

Visual Formatting & Standardization: Formats robust macroeconomic and financial data into polished slides and marketing materials. Actively contributes to internal standardization by discussing and defining new procedural rules with the team when encountering unmapped document requirements, ensuring consistency across deliverables.

Data Entry Expertise

Complex Document Extraction: Extracts highly granular data points—such as primary/contributory coverage statuses, workers' compensation limits, and general liability thresholds—from diverse agreement types into internal databases. 

Quality Control & Exception Handling: Operates a rigorous discrepancy validation process. Cross-references inconsistent PDF information against internal knowledge bases and standardized workflows, escalating unresolved anomalies to maintain peak data integrity.  

Advanced Spreadsheet Management: Resolves messy data formatting and automates database inputs utilizing advanced spreadsheet logic (HLOOKUP, conditional formatting, and VBA coding), ensuring seamless data transitions before platform integration.

AI Tools Experience

AI Automation in Workflows: Actively utilizes proprietary AI agents and OCR reading technologies embedded within his company's platform to isolate and extract specific required fields directly from non-searchable image formats and unformatted PDFs into structured spreadsheet lines, drastically reducing manual processing time.

Education

Bachelor’s Degree in Economics | Federal University of Ouro Preto, Brazil. (2024) 

Electric Technician Degree | SENAI Alvimar Carneiro de Rezende, Brazil. (2014)

Languages

Portuguese (Native) 
English (Fluent) 
Spanish (Intermediate) 
French (Basic) 
Mandarin (Chinese) (Basic)

Tools & Technologies

Data Management & Reporting: Microsoft Excel, Google Sheets, MySQL, MS Access, SAP PM. 

Design & Presentation: Microsoft PowerPoint, Canva. 

General & AI Tools: Internal AI agents, OCR technology, Slack. 

Programming & Analytics: Python, R, C, C#, C++, FMEA, Ishikawa Diagram.


Key Qualifications & Highlights

Cross-Functional Technical & Analytical Foundation: Blends a newly acquired Bachelor's Degree in Economics with advanced technical programming capabilities (Python, R, VBA, MySQL). This multidisciplinary background enables the Data Entry Specialist to approach manual operational tasks with a highly analytical mindset, executing advanced database logic to streamline repetitive entries and elevate overall data integrity.  

Unstructured Data Mastery & Exception Handling: Demonstrates an exceptional ability to navigate disorganized and highly variable data sources. Extends beyond basic data entry by dissecting complex, non-searchable agreements to locate specific compliance thresholds (e.g., AM Best ratings, liability limits). Standardizes these messy formats into clean, structured lines for final platform integration.  

Process Optimization & Rapid Turnaround Delivery: Strongly process-driven with a verifiable history of implementing workflow improvements. Systematically consults historical databases and initiates team discussions to resolve anomalies and establish new standard operating procedures, ensuring operational consistency and rapid issue resolution.  

High Adaptability & AI Utilization in Data Workflows: Highly adaptable within fast-paced tech environments, seamlessly operating proprietary internal databases and AI agents. Actively leverages OCR technology to structure text from unformatted images directly into spreadsheets, maximizing efficiency and minimizing errors in high-volume extraction tasks.  

Multilingual Competency & Global Communication: Brings robust international exposure with fluency in English and formal education in Mandarin, alongside Spanish and French proficiencies. Effectively navigates asynchronous remote collaboration, consistently utilizing platforms like Slack to clarify project details and resolve complex data anomalies seamlessly with US-based stakeholders.


Screening Interview - Key Observations

Academic Market Research Publication: While his general participation in a university finance club was noted, the interview revealed that his specific focus involved analyzing the structural financial efficiency of market companies. He highlighted that he synthesized this research into a comprehensive visual report that is currently published on his LinkedIn profile in Portuguese, demonstrating hands-on experience in organizing complex financial data into client-facing deliverables.  

Advanced Spreadsheet Automation (Strength & Task Preference): Expressed high comfort and a strong preference for working deeply within Excel and Google Sheets, tracing this core capability back to a prior finance internship where he heavily utilized these platforms to manage databases. He confidently detailed his ability to build macros, write VBA code, and deploy complex conditional formulas (HLOOKUP, XLOOKUP) to format and manipulate large datasets.  

External AI Tool Familiarity (Area for Improvement): When discussing artificial intelligence, he openly acknowledged a lack of extensive experience utilizing external AI tools. His technical exposure in this area remains strictly limited to the proprietary AI reading agents and basic OCR technologies integrated into his current employer's internal platform, indicating a potential learning curve for adapting to broader AI-driven operational workflows.  

Collaborative Problem-Solving: Demonstrated a structured approach to issue resolution and remote cross-functional communication, mentioning that whenever he encounters unclear client requirements or unmapped documentation, he systematically consults internal historical databases and Slack channels first; if the anomaly remains unresolved, he initiates team discussions to define a new procedural standard before submitting any final data to the client.  

Schedule Flexibility Inquiries: The primary question during the screening focused on daily operational hours, specifically asking for exact start and end times and inquiring if the schedule provided flexibility to accommodate family routines. Upon clarification of the required 12:00 PM to 10:00 PM EST shift, he confirmed the working hours were a perfect fit.