pro
Ricardo Mestanza
Python automation, clean data, and verified research.
New to Contra
Ricardo is ready for their next project!
Self-directed sample: I built a source-linked research workflow for real estate and business questions. Each material fact is recorded with its source URL and verification date, then organized in a clean spreadsheet with assumptions and unanswered questions clearly flagged. The deliverable is designed to reduce manual checking and make decisions easier to audit.
0
7
Public data is useful only when every claim can be traced. I just published a focused research service for real estate and business questions: up to 15 verified facts, a source URL and verification date for every material claim, a structured spreadsheet, and a concise decision-ready summary. I flag assumptions and unanswered questions instead of guessing. Starter scope: $35 with 3-day delivery. If you have one property, company, or narrow market question, message me with the geography and decision you need to support.
1
49
Cleaned and validated a messy CSV dataset, standardized dates and currency values, removed duplicates, flagged uncertain rows, and delivered a concise quality report.
1
22
Researched a real-estate property using public sources, recorded source links and verification dates, extracted headline indicators, and separated facts from analyst notes.
1
9
Diagnosed a Python runtime failure, isolated the root cause, implemented a minimal defensive fix, and documented regression tests and remaining risks.
1
11
Converted irregular PDF tables into a clean Excel-ready structure, normalized dates and amounts, flagged uncertain values, and added a QA summary.
1
18