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Kraj: Russia

Lokalizacja: Pattaya, TH

Na Useme od 3 września 2026

O mnie

I build small, verifiable Python automations for data and document workflows. I can clean and validate CSV/JSON data, transform files in batches, integrate documented APIs, extract permitted public data, and produce editable PDF/DOCX or spreadsheet outputs. I define the expected result and edge cases first, test realistic and invalid inputs, and deliver a repeatable command with clear limitations. I am looking for bounded remote projects where the input, output, and acceptance checks can be agreed before work starts.

Portfolio

Contact List Cleaning and Validation

Client-neutral demo: cleans and validates CSV contacts, normalizes dates, phones and amounts, deduplicates rows, and records every rejected row with an exact reason. 20 output-level tests cover valid, invalid and ambiguous inputs.

Portfolio item

Contact List Cleaning and Validation

Client-neutral demo: cleans and validates CSV contacts, normalizes dates, phones and amounts, deduplicates rows, and records every rejected row with an exact reason. 20 output-level tests cover valid, invalid and ambiguous inputs.

Printed Pages to Editable Word

Client-neutral document demo: converts printed-page content into a clean editable Word document and checks structure, headings, tables and pagination against the source. The sample shows the input-to-output workflow and review result.

Portfolio item

Printed Pages to Editable Word

Client-neutral document demo: converts printed-page content into a clean editable Word document and checks structure, headings, tables and pagination against the source. The sample shows the input-to-output workflow and review result.

Annotation Quality Control

Client-neutral demo: validates annotation schemas, flags invalid records, measures pairwise agreement, lists disagreements, and scores against a gold set. 20 output-level tests cover expected, edge and failure cases.

Portfolio item

Annotation Quality Control

Client-neutral demo: validates annotation schemas, flags invalid records, measures pairwise agreement, lists disagreements, and scores against a gold set. 20 output-level tests cover expected, edge and failure cases.