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Ada Lloret - Data Entry & Content Formatting Specialist

Location: Bogotá, Colombia

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

LinkedIn Profile | email: adalloret20@gmail.com | Phone: +57 3042647592

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

Earliest date she could join if receiving an offer: Immediately

Summary

Data Analyst and Back Office Representative with ~2 years of experience: supporting US-based clients in the telecommunications, logistics, and technology industries. Brings a strong background in data entry and content formatting from roles at EXL and Foundever. At EXL, extracted, consulted, and organized logistics data across hundreds to thousands of records using Excel and Google Sheets, managing up to 80 tickets daily while ensuring consistent formatting and reducing processing errors. At Foundever, utilized Salesforce and Zendesk, developing structured response templates that reduced team response times by 50%. Additionally, ensured visual content consistency for MuebleLand and built interactive dashboards and marketing materials using Power BI, Canva, and PowerPoint during her Triple Ten data bootcamp, where she developed 17 data projects using real business datasets. Possessing an understanding of structuring large datasets with Python and SQL consistently translates complex unstructured records into clear, accurate, and visually polished presentations for non-technical audiences.

Meet Ada

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

Candidate Snapshot

US-based Experience

~2 years of experience: Supported international, mostly US-based clients, across the telecommunications, logistics, and technology industries. 
 • Roles: Handled data and operational tasks at EXL and Foundever, tracking logistics packages across the US, managing customer interactions, and updating specific records on internal CRM systems and Google Sheets.

Large Datasets & Visual Documentation Formatting

Data Structuring & Cleaning: Managed datasets ranging from hundreds to thousands of records. Validated missing values, handled duplicates, and ensured consistent structural formatting (e.g., maintaining identical text formats like camel case and snake case) in Google Sheets and Excel before exporting as CSV files and migrating to Snowflake. 
 • Visual Documentation & Formatting: Built structured dashboards and visual reports using Canva, Microsoft PowerPoint, and Power BI. Successfully condensed complex data sets (such as analyzing Spotify track characteristics) into concise, 8-slide presentations tailored for non-technical audiences, prioritizing strict consistency in layouts and fonts.

Data Entry Expertise

High-Volume Ticket Management: Handled up to 80 daily tickets at EXL, verifying US logistics packages and manually updating customer data in live, company-wide Google Sheets. 
 • Advanced Spreadsheet Data Entry & Cleaning: During data analytics training, independently managed and cleaned transactional records using Google Sheets functions, pivot tables, and conditional formatting to resolve missing values, duplicates, and formatting inconsistencies across multiple spreadsheet pages. 
 • Structured Content Formatting: Applied strong attention to detail as a Social Media Representative at MuebleLand, taking responsibility for content formatting, organizing information, and enforcing strict visual consistency guidelines across various platforms.

Education

Bachelor of Science in Data Science | Universidad de La Salle (Present) 
 • Data Analysis Bootcamp | Triple Ten (2026)

Courses & Certifications

Power BI Course | Platzi (2025) 
 • Prepare Data for Exploration | Google (2026) 
 • Foundations: Data, Data, Everywhere | Google (2026) 
 • Logistics Course for Startups | Platzi (2026)

Tools & Technologies

Spreadsheets & Data Entry: Microsoft Excel and Google Sheets. 
 • CRM & Ticketing: Salesforce (2 years), Zendesk (2 years). 
 • Design & Presentations: Advanced proficiency in Canva and Microsoft PowerPoint. 
 • Data Management & Analytics: Python (1 year/pandas, NumPy, Plotly Express, Seaborn, Streamlit), SQL, Power BI, Tableau, Snowflake, Google Big Query, Looker Studio.

Key Qualifications & Highlights

Cross-Functional Data & Operational Expertise: Combines foundational back-office experience with advanced technical data training. Efficiently executes fast-paced operational tasks while applying analytical skills to ensure structural accuracy, bridging the gap between manual data entry and organized data presentation. 
 • Workflow Automation & Template Efficiency: Significantly optimized operations at Foundever by developing standardized response templates within Zendesk. This proactive approach to formatting workflows directly resulted in a 50% improvement in response times for the entire team. 
 • Flawless Formatting for Non-Technical Audiences: Demonstrates a keen eye for visual consistency, adapting highly technical information into clean, understandable formats. Transformed a complex, weeks-long data project into a simple, polished 8-slide presentation, strictly maintaining font width and layout consistency to ensure the material was immediately accessible to non-technical stakeholders. 
 • Live-Data Agility in High-Volume Environments: Showcased strong attention to detail by maintaining accurate client tracking records at EXL across Google Sheets, accessed live by the entire company. Ensured high data integrity while consistently meeting a KPI of resolving up to 80 daily tickets. 
 • End-to-End Data Pipeline Exposure: Beyond basic entry, has managed data cleaning projects using real business datasets. Successfully cleaned datasets ranging from hundreds to thousands of records, identified inconsistencies and duplicates in Google Sheets, and prepared the finalized data for migration into Snowflake.

Screening Interview - Key Observations

Ongoing Technical Training: Beyond her documented education, she is currently completing a Google Data Analytics course and a Bachelor's degree in Data Science. She recently applied her data structuring skills to a project for a plant-selling business, managing distinct registers for flowers, fruits, and vegetables across multiple spreadsheet pages, and extracting specific variables like plant root depth for database export. 
 • Navigating Collaborative Live-Data: When detailing her data entry background, she highlighted the operational challenge of updating live, company-wide Google Sheets. Emphasized the necessity of entering customer data instantly and accurately to prevent data overlap or duplicate interactions from other team members accessing the same sheet simultaneously. 
 • Rapid Adaptability to Proprietary Tools: While her primary CRM experience lies in Salesforce and Zendesk, she demonstrated quick learning capabilities by mastering a client's proprietary internal tool within a strict three-day timeframe to meet urgent live-customer demands. 
 • Alignment with US Client Standards: Drawing from her back-office background, she identified a clear understanding of US-based client work cultures. Noted that these stakeholders consistently expect fast turnaround times coupled with highly detailed execution, a standard she is comfortable meeting. 
 • Lack of Professional Data Analysis Experience: Openly acknowledged that her professional back-office experience was strictly limited to data entry, consulting, and live updates. Clarified that she did not perform data cleaning or visualization in a professional setting, which served as her primary motivation for independently pursuing her data science degree and training. 
 • Proactive Problem Solving: Further elaborating on the CRM response templates mentioned in her profile, she demonstrated a focus on process improvement by explaining that she independently identified manual, personalized typing as a massive time-loss bottleneck. Took the initiative to build a clickable, customizable framework to eliminate repetitive data entry before it was adopted by her peers. 
 • Active in other interview processes: Had another first-stage interview scheduled with a different company, indicating that is actively exploring the job market.