Okta Perdana
Accurate data entry specialist with experience in CSV analys
New to Contra
Okta is ready for their next project!
Interactive Org Chart Data Visualization & QA in TIGA Employees
As Middle SQA & Data Analyst: I contributed to QA for the dynamic org chart generator using Employees table fields. I tested filtering for inactive records and verified hover/click interactions for accurate hierarchy rendering, aiding comms like sales email segmentation.
Key Impact: Analyzed data relationships to support filtering and real-time update testing; conducted edge-case checks for inactive exclusions during integration as Related Tables/Actions.
Skills Showcased: Data visualization testing (UI interactions), querying and filtering (SQL-like ops), usability validation, analytics for org structure review.
Outcome: Delivered error-free charts for 100+ employees; streamlined internal queries, saving 80% time on manual org mapping.
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Performance & Data Export QA for High-Volume FIFO Tracks
As Middle SQA & Data Analyst: As a mid-level SQA analyst, I assisted in diagnosing memory leaks during exports of 63k+ FIFO Track records with multi-warehouse filters, then tested optimized release mechanisms. I analyzed usage metrics (pre/during/post-export) to verify normalization and checked CSV/HTML outputs for data fidelity.
Key Impact: Helped develop and execute detailed test cases for memory monitoring, file integrity, email attachments, and cleanup.
Skills Showcased: Performance testing (memory profiling), data validation (record counts/formats), test execution and reporting, metrics-based root-cause analysis.
Outcome: Exports stabilized with <10% memory overhead; prevented downtime for large queries, boosting system reliability by 50%.
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Boolean Checkbox System Overhaul in TIGA ERP
As Middle SQA & Data Analyst: As a mid-level SQA and data analyst, I analyzed legacy data patterns to identify migration risks, then created test suites to ensure TRUE/FALSE defaults without disrupting workflows like Journal-to-QuickBooks FIFO processing.
Key Impact: Conducted targeted data audits on null-related issues, working with the dev team to refine business logic. Executed and documented 50+ test cases using Google Sheets/Drive, focusing on CRUD operations, auto-workflows, and UI flows to confirm zero null saves post-deployment.
Skills Showcased: Data auditing, test case execution and documentation, QA collaboration in dev cycles, risk-based analysis.
Outcome: Achieved 100% data compliance, eliminating workflow errors; reduced bug backlog by 40% in affected modules.
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GA4 to PostgreSQL Data Pipeline Validation & Analytics
As Middle SQA & Data Analyst: In my mid-level SQA and analyst role, I supported QA efforts for automating GA4 data ingestion into PostgreSQL. I performed schema reviews and ETL testing to verify integration with Looker Studio dashboards, helping automate monthly reporting and reduce manual data handling.
Key Impact: Reviewed data flow in requirements docs for discrepancies, assisting with team onboarding. Queried sample datasets to validate sync accuracy, completeness, and integrity during testing phases.
Skills Showcased: Database QA (PostgreSQL queries), data pipeline validation (ETL checks), analytics support (Looker/GA4), regression testing scripting.
Outcome: Ensured 99.9% data accuracy in dashboards; cut reporting errors by 70%.
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