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I am a CNC programmer who fell in love with data. I started as a data entry clerk and am currently working as a QA analyst transitioning to Data analyst where I've learned Excel, SQL, Power BI, and Python. I hope I can add value to you a…

Ronaldy Madera Dominguez

Data Scientist, Data Analyst, QA Engineer, +2

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I am a CNC programmer who fell in love with data. I started as a data entry clerk and am currently working as a QA analyst transitioning to Data analyst where I've learned Excel, SQL, Power BI, and Python. I hope I can add value to you a…

Available to hire

I am a CNC programmer who fell in love with data. I started as a data entry clerk and am currently working as a QA analyst transitioning to Data analyst where I’ve learned Excel, SQL, Power BI, and Python. I hope I can add value to you a

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Spanish; Castilian

Fluent

English

Fluent

Work Experience

QA Analyst at One Park Financial

June 1, 2024 - Present

Compliance Auditing: Monitor and evaluate high volumes of customer interactions to ensure 100% adherence to legal and company regulatory guidelines. Data Labeling & Validation: Act as a 'human-in-the-loop' by categorizing call outcomes and sentiment, providing the ground-truth data used to train and calibrate internal AI models. Trend Analysis: Identify and flag recurring patterns in agent non-compliance, providing feedback that improves overall service quality and reduces company risk. Reporting: Track quality scores and compliance metrics using Excel to visualize team performance for management.

Data Entry Clerk at SPI by Jostens

September 1, 2023 - June 1, 2024

Data Stewardship: Managed the entry of technical specifications and inventory logs into an AS400, ensuring 100% alignment between technical PDFs and system records. Manual Data Transformation: Performed manual 'ETL' by cleaning and validating raw data from emails and technical documents, adhering strictly to enterprise guidelines to prevent system conflicts. Technical Troubleshooting: Managed discrepancy workflows by flagging and returning inaccurate technical data for correction, ensuring the 'Single Source of Truth' was maintained for manufacturing. Systems Precision: Operated within high-constraint database environments where accurate query input was mandatory to avoid triggering production-floor error detections. Prevented production stoppages and material waste by identifying and correcting human errors in trim quantities and product attributes before they reached the manufacturing floor.