Services | VahdetLabs

Service catalog

Commercial services—fixed-scope, solo-operated engagements.

Targets teams that already work with spreadsheets, light BI, or ad hoc exports—but need dependable preparation, KPI reporting, or automation locked to written acceptance before scope grows. Batch ML and real-time APIs are offered only after inputs, outputs, and criteria are sober on paper. Retrieval Q&A likewise lives behind the same groundwork. Portfolio and Data tools illustrate how engagements are framed.

Primary offers are designed to get teams unblocked quickly: prep, KPI surfaces, and repeatable reporting.
Premium ML work appears only after data shape, ownership, and acceptance rules are stable enough to support it.

Service catalog illustration: dependable data preparation, KPI reporting surfaces, bounded automation—and deeper ML only when scope is explicit.

Primary storefront

Data Prep Sprint

Teams with conflicting exports, duplicates, drifting formats, or low trust in the numbers—before dashboards, forecasts, or models.

Cleaning, profiling, and clear documentation so the next dashboard, forecast, or model rests on inputs your team can explain and reproduce.

Typical project range: €120 – €550

Clean datasetsprofiling / change summarytransferable notesExcel

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Featured

Primary storefront

KPI Dashboard Package

Leads who live in spreadsheets or Power BI / Looker Studio and need one agreed KPI view—not a multi-year platform programme.

One workbook or BI report with KPI definitions in plain language, a repeatable refresh path, and checks so reviews focus on decisions—not arguing about the numerator.

Typical project range: €300 – €1,050

Dashboard artefact (Sheets / Excel / agreed BI export)KPI dictionaryQA checklisthandover memo

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Primary storefront

Reporting / Spreadsheet Automation

Teams that rebuild the same weekly or monthly report by hand and need the same recipe every run unless you change the rules in writing.

Scheduled or on-demand pipelines—Sheets, Apps Script, or lightweight Python—so each run produces the same outputs and logs reviewers can audit.

Typical project range: €200 – €850

Automation scripts/schedulesrunbookrollback notesGoogle Sheets · Apps Script · Python · Approved connectors/APIs where budget allows

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Premium (selective)

Batch ML Systems

Teams that accept slower batch turnaround and want scoring or feature builds that rerun to the same contract—artefacts, manifests, test hooks—not one-off exploratory charts.

CSV/Parquet ingestion, preprocessing you sign off on, deterministic scoring or feature outputs, manifests and sensible exit signalling for cron or orchestration you operate.

Typical project range: €950 – €6,800

Batch job codebaseartefacts (models/features)deterministic run manifestsQA hooks

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Premium (selective)

ML APIs & Real-Time Serving

Latency-sensitive scoring or lightweight retrieval where you need agreed HTTP contracts, pinned artefacts, clear errors, and rollback—not ad-hoc notebook calls.

HTTP service around a frozen model (or agreed stack): request/response schema, timeouts, versioning, and operations notes your team can run—built for clarity and handover.

Typical project range: €1,400 – €8,500

API service codebaseartefacts + manifestinference contract docrollback hooks

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Secondary pack

Forecasting & Structured Analysis Pack

Marketing or operations teams with exports in hand who need period comparisons, structured reporting, and transparent forecasting only when history supports it—plus optional narrative commentary on aggregates you approve.

Decision-ready tables and visuals from your sources: honest forecasts with visible limitations when data is thin, optional written commentary built only from summaries you clear—not row-level model dumps and not campaign management.

Typical project range: €180 – €750

Report packsvisualsnaive-baseline forecasting where fit allowsdocumented limitations

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Ranges are indicative; exact quotes depend on data shape, source access, and agreed acceptance criteria.

If nothing here maps cleanly, describe the inputs, outputs, and constraints you need.

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