CSV reconciliation
Compare records using agreed identifiers; report mismatched amounts, missing matches, and duplicated keys instead of silently overwriting them.
PYTHON / DATA QUALITY / WORKFLOWS
Python automation with testable outcomes.
Replace repetitive data handling with bounded, inspectable scripts. We define the inputs, confirm the business rules, and test the exceptions before calling a workflow complete.
PROBLEMS WE CAN SCOPE
Define the failure, not just the tool.
A useful engagement starts with sample inputs, expected outputs, and the observable failure. We avoid claiming a fix before inspecting the evidence.
Data synchronization
Pull or transform approved API responses; validate schemas, handle rate limits, and record actionable errors.
Repeatable reporting
Normalize inputs and produce deterministic output files or defined KPIs with automated acceptance checks.
DELIVERABLES & ACCEPTANCE
What a verifiable handoff includes.
Input and acceptance contract
Sample files or response schemas, field definitions, matching policy, and explicit edge cases.
Scoped implementation
Readable Python source and configuration guidance, with dependency versions documented.
Reproducible tests
Positive/negative fixtures for duplicates, bad formats, missing keys, and error paths.
Operational handoff
Run instructions, logging convention, limitations, and a rollback plan where relevant.
Evidence boundary: Exploratory browser demos on this site use synthetic data; they are not proof of a deployed customer automation. A proposed production integration requires approved access and a separate, bounded statement of work.
FAQ & TECHNICAL EVIDENCE
Scope questions to settle early.
Can you work with confidential exports?
A scope review can use synthetic or redacted samples. Client material is not sent to external AI systems without authorization.
Will a script replace the entire reporting system?
Not by default. Start with one verifiable workflow, then expand only after the existing output and failure cases are accepted.
NEXT STEP
Send the symptoms. Agree on the acceptance test.
Provide a short, sanitized description of the system, error symptoms, affected data, and desired output. Please do not submit passwords, private keys, or customer data through the public form.