Andrew Johnson

Detail-oriented data professional with hands-on experience validating, reconciling, and quality-checking high-volume datasets (200,000+ records) under strict accuracy and compliance standards. DataCamp Associate Data Analyst Career Track certified, with working knowledge of Python, SQL, and statistical analysis. Strong track record of following detailed guidelines, resolving data discrepancies, and maintaining consistency at scale — skills that translate directly to labeling, evaluating, and quality-reviewing data for AI/ML model training.

Custody Operations Specialist - US Bank

(2026-11)

• Data Categorization & Labeling: Processed, sorted, and systematically cataloged physical and digital assets according to strict corporate taxonomies and banking guidelines.
• Quality Assurance & Auditing: Conducted regular inventory checks and comprehensive audits to ensure 100% accuracy between physical inventory and digital tracking databases, identifying and resolving metadata discrepancies.
• Strict Guideline Adherence: Consistently met demanding Service Level Agreements (SLAs) and followed rigorous security and compliance protocols without deviation.
• Database Maintenance: Handled daily data entry, account-level updates, and digital scanning, ensuring clean, standardized records for internal business lines.
• Cross-Functional Collaboration: Partnered with administrative teams and account managers to investigate data anomalies and streamline tracking workflows.

Mortgage Documents Review Associate - US Bank

(2025-02 - 2025-11)

Contract position

• Large-Scale Data Curation: Cleaned, structured, and validated massive datasets containing 206,000+ files, maintaining an ultra-high precision rate to support model training standards and compliance metrics.
• Technical Data Harmonization: Utilized advanced Excel functions (PivotTables, XLOOKUP, macros) and enterprise database tools to normalize, map, and synchronize metadata between unstructured physical files and structured digital registries.
• Anomaly Detection & QA: Investigated complex data discrepancies, systematically tracking down edge cases, formatting errors, and potential risk flags to ensure absolute dataset integrity.
• Schema Validation & System Updates: Executed continuous database updates to satisfy strict taxonomy schemas, compliance reporting rules, and rigorous quality assurance protocols.

Data Analyst Intern - 247EricPoint.com

(2023-04 - 2023-09)

• Used Power BI to design interactive reports, increasing reporting efficiency by 40% and reducing manual data-prep time.
• Applied data mining techniques to analyze complex financial models, surfacing insights that improved forecast accuracy by 10%.
• Used SQL to extract, clean, and transform data from multiple sources into consistent, well-labeled datasets for downstream reporting.
• Documented data-cleaning and labeling logic in shared reports, ensuring other analysts could reproduce and trust the results.

Data Analyst Intern - Totality Solutions

(2022-06 - 2022-08)

• Extracted, cleaned, and organized data to support faster, more accurate decision-making across teams.
• Translated business questions into structured analytical outputs, improving reporting accuracy and consistency.

Accounts Payable Assistant - St. Olaf College

(2021-09 - 2022-05)

• Processed and validated invoices for accuracy against established financial protocols, catching and correcting variances before they reached final records.
• Maintained consistent record-keeping across a high volume of transactions, prioritizing accuracy over speed on every entry.

Bachelor of Arts - Quantitative Economics — Concentration in Data Science & Statistics - St. Olaf College (2024-01)