JD

Julian Di Sanzo

Available to hire

Software & Web | Python, PowerShell, APIs and QA I build practical software tools and web solutions, automate Windows workflows, integrate APIs and reproduce/fix scoped bugs.

About

Software & Web | Python, PowerShell, APIs and QA

I build practical software tools and web solutions, automate Windows workflows, integrate APIs and reproduce/fix scoped bugs. I also handle file conversion, data processing, repeatable reports and functional testing. I prefer a fixed price for an agreed result.

My workflow:

  1. Review a sample and expected output; define dependencies, scope, deadline and acceptance checks.
  2. Build on a test copy or staging environment and present an agreed preview.
  3. Check normal inputs, relevant edge cases and errors. For data, reconcile record counts/totals; for web work, check agreed layouts, links, forms and browser flows.
  4. Deliver the agreed files/source, usage or setup instructions and a concise validation report. Revisions are specified in the quote.

Tools include Python (pandas/openpyxl), PowerShell, Excel and browser testing, selected for the actual environment. More complex developments are assessed for stack, hosting, access and testing before commitment.

Seven years using Excel for industrial quotations and administration as a manufacturing supervisor at Ciesco SRL; approximately one year with Python and APIs on personal projects. Electronic Engineering studies at UTN Bahia Blanca, 2022–2024, incomplete. Based in Argentina; native Spanish and intermediate English. Portfolio demos are labelled as fictional samples.

  • Joined October 2026

Languages

  • Spanish; CastilianFluent
  • EnglishIntermediate

Industry experience

  • Manufacturing

More experts in Bahia Blanca, Argentina

Projects · 2

Excel validation checks — companion sample

Companion view of the same fictional Excel/CSV cleanup demonstration shown in my portfolio. This is not a separate paid client engagement. The sample accounts for all seven input rows: four accepted records, one duplicate and two invalid rows. Checks cover text IDs with leading zeros, one agreed duplicate key and invalid numeric values. Ambiguous records are flagged for review. The original input stays unchanged. Delivery criteria are agreed before each project, with a cleaned file, exceptions report and instructions. Only this illustration is public; the professional editable model is not published.

  • Data Analyst
Excel & CSV cleanup — fictional sample

Demonstration using fictional data, not a paid client engagement. This example standardizes fields, preserves text IDs and leading zeros, checks duplicates by an agreed key, and flags invalid values rather than guessing them. Seven input rows are accounted for: four accepted rows, one duplicate and two invalid rows. The sample includes a cleaned table and a validation summary. My contribution: defining cleanup rules, checking the sample records and preparing the delivery presentation. Client scope and acceptance criteria are agreed individually. The original input is retained. The professional editable model is not published; a purchased delivery is customized to the agreed requirements.

  • Data Analyst
  • Programmer

Work experience

Manufacturing Supervisor · Ciesco SRLJul 2019 – Present · 7 yrs 5 mos

Manufacturing supervision in the metalworking industry. Seven years using Excel for industrial quotations, budgets and administrative records.

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