OVERVIEW: I don't just enter data; I build, clean, and automate systems. Leveraging my background in Computer Engineering and high-stakes data logging (former Emergency Services Operator), I bring extreme precision, strict confidentiality, and technical logic to everyday business operations.

Whether it is sanitizing messy databases for CRM import, executing B2B web research, or building automated e-commerce tracking dashboards, I structure data so executives can make immediate decisions.

CORE COMPETENCIES:

• High-Velocity Processing: Certified 60 WPM (100% Accuracy) for rapid data scaling.

• System Architecture: CRM-ready structuring, data normalization, and PII security.

• Business Intelligence: Competitor analysis, variance logic, and visual dashboards.

• Advanced Spreadsheet Logic: Google Workspace, REGEX, SPARKLINE, Nested IFs, and strict Data Validation.

Certified Typing Speed and Accuracy Assessment

SAMPLE WORK #1: CUSTOMER DATABASE & CRM-READY DATA ENTRY

Project Overview: Designed, encoded, and formatted a comprehensive e-commerce customer database using Google Sheets. This dataset was specifically structured and cleaned to ensure flawless bulk-import compatibility with modern CRM systems.

Key Responsibilities & Skills Demonstrated:

✓ Scalable, High-Accuracy Data Entry: Rapidly logged complex customer profiles, including detailed nested purchase histories (Items, Quantities, Pricing, Order Numbers) with 100% computational accuracy.

✓ Confidentiality & Data Security: Demonstrated strong understanding of PII (Personally Identifiable Information) protection by programmatically applying data masking techniques (REGEX) to sensitive contact fields, simulating secure, client-facing dashboard views.

✓ Data Structuring for CRM Import: Separated combined data points into distinct, trackable columns to prevent CRM mapping errors during data migration.

✓ Data Validation & Filtering: Implemented strict data validation rules (dropdowns and date formatting) to prevent future input errors. Applied dynamic filters to allow immediate data querying and business analysis.

Tools Used: Google Sheets, Data Validation, Filtering/Sorting Tools.

SAMPLE WORK #2: B2B LEAD GENERATION (ASIAN BUSINESS LEADERS)

Project Overview: Executed a high-level web research project identifying 30 prominent CEOs and business leaders across Asia. This dataset demonstrates professional-grade data acquisition, verification, and CRM-ready database structuring.

Key Responsibilities & Skills Demonstrated:

✓ Verified B2B Web Research: Performed manual verification of executive titles, company associations, and corporate contact details for high-profile business figures.

✓ Database Accuracy: Compiled real-world public data into a clean, actionable format, ensuring all website and LinkedIn company URLs are verified and functional.

✓ CRM-Ready Structuring: Organized data into a standardized 10-column layout (First Name, Last Name, Job Title, Corporate Email, LinkedIn URL), ensuring structural compatibility for automated B2B outreach campaigns and seamless CRM integration.

✓ Data Analysis & Querying: Applied advanced spreadsheet tools such as SORT and FILTER to organize, isolate, and manage large datasets, transforming static lists into queryable business intelligence.

Tools Used: Google Sheets, Advanced Web Research, Data Analysis Tools (Sort/Filter).

SAMPLE WORK #3: E-COMMERCE PRODUCT INVENTORY DASHBOARD

Project Overview: Designed and built a professional-grade Shopify-ready product inventory database using Google Sheets. This system was engineered to handle complex SKU management, product variants, and real-time inventory tracking, ensuring seamless bulk-import compatibility for e-commerce store operations.

Key Responsibilities & Skills Demonstrated:

✓ E-commerce Data Architecture: Implemented a robust parent/child product hierarchy (Handle/Variant structure) to ensure clean bulk-import mapping, preventing duplicate product listings during platform migration.

✓ Visual Data Intelligence: Utilized advanced spreadsheet formulas (SPARKLINE) to create in-cell price visualization bars, transforming static pricing data into a dynamic, scannable dashboard.

✓ Inventory Automation: Developed automated conditional formatting rules to create visual "heat maps" for inventory levels, enabling instant stock-level analysis for efficient re-ordering.

✓ Systematic Categorization: Employed standardized dropdown chips and structured tagging systems to ensure search-engine optimization (SEO) and site-wide product categorization consistency.

Tools Used: Google Sheets, Data Validation (Dropdown Chips), SPARKLINE Data Visualization, Conditional Formatting Logic.

SAMPLE WORK #4: COMPETITOR PRICING MATRIX & BUSINESS INTELLIGENCE

Project Overview: Developed an automated market intelligence tracker to compare internal product pricing against major industry competitors (Amazon, BestBuy, B&H Photo). This dashboard provides real-time pricing variance analysis to drive data-backed retail strategies.

Key Responsibilities & Skills Demonstrated:

✓ Automated Business Intelligence: Built dynamic formulas (AVERAGE, variance logic) to instantly calculate market baseline prices and exact percentage differences for our catalog.

✓ Logic-Based Alerts: Implemented nested IF statements to autonomously flag products as "Overpriced," "At Market," or "Highly Competitive," enabling rapid executive decision-making.

✓ Data Visualization: Applied advanced conditional formatting to create a visual heat map of market positioning, instantly drawing attention to critical pricing errors.

✓ Financial Data Formatting: Maintained strict numerical hygiene across the database, correctly formatting currencies, percentages, and programmatic SKU identifiers.

Tools Used: Google Sheets, Advanced Formulas (IF, AVERAGE), Business Intelligence Logic, Conditional Formatting.

SAMPLE WORK #5: CRM DATA CLEANSING & NORMALIZATION

Project Overview: Executed a high-level data hygiene project to sanitize, format, and normalize a corrupted contact database. This project demonstrates the ability to prepare messy raw data for flawless bulk-import into enterprise CRM systems.

Key Responsibilities & Skills Demonstrated:

✓ Programmatic Data Cleansing: Utilized advanced spreadsheet formulas (TRIM, PROPER, LOWER, UPPER) to autonomously eradicate leading/trailing spaces and correct erratic capitalization across thousands of data points.

✓ Email & Formatting Standardization: Forced strict syntax rules on email addresses and geographic state codes to ensure uniformity, preventing duplicate records and bounce-backs in automated outreach campaigns.

✓ Data Hygiene & QA: Designed a side-by-side verification dashboard to visually QA the sanitization logic before finalizing the dataset for CRM migration.

✓ Database Optimization: Transformed a hostile, unreadable raw data dump into a pristine, actionable business asset without relying on tedious and error-prone manual typing.

Tools Used: Google Sheets, Advanced Text Formulas (PROPER, TRIM), Data Normalization Protocols.