Younes Zendour

— Multi-agent B2B prospecting pipeline: scraping (Playwright), API enrichment (INSEE Sirene, Hunter.io), LLM scoring (Anthropic SDK), cold emails, IMAP detection, PostgreSQL persistence.

— Python Backtesting (pandas, NumPy, backtrader) on MetaTrader 5 API: extraction, multi-timeframe resampling, Sharpe / drawdown / profit factor metrics.

— Media automation (Node.js, Playwright, FFmpeg) for map imagery extraction and programmatic video rendering.

— ditrit/badaas contribution (RBAC/ABAC PoC) — Go backend framework: RBAC + ABAC, secure REST API, sessions, ORM, dependency injection. Multi-tenant access control transposable to audited finance / SaaS architectures.

Skills deployable on assignments:

— Power BI Dashboards: DAX, Power Query M, drill-down, auto-refresh, governance.

— Multi-source data integration: REST APIs, IMAP, scraping, ERP exports — cleaning, deduplication, enrichment.

— Advanced SQL on PostgreSQL; initial Databricks / Spark work on volumes beyond Power BI capacity.

— ERP: accounting data extraction and transformation, repository modeling.

— Backend & API: Node.js, Go, PostgreSQL, secure REST, RBAC / ABAC, Git.

— Production LLM: Anthropic SDK, multi-agent orchestration, quality monitoring.

— Functional NetSuite configuration for finance on multi-entity deployments: GL, AP, AR, Cash, fixed assets — chart of accounts design, journal entry rules, intercompany mapping, repository governance. Experience from the publisher's side, directly involved in end-to-end migration projects.

— BPMN modeling of Order-to-Cash and Procure-to-Pay financial flows: target process mapping, identification of control points and traceability breaks, alignment between finance business logic and system execution. Diagrams serve as a shared reference between finance, IT, and integrator teams.

— Finance scoping workshops with key users: structuring accounting data, defining repositories (vendors, items, analytical dimensions), arbitrating gaps between legacy and target systems — the phase where the quality of the go-live is largely determined.

— Documentation and post-cutover support: user operating procedures, training plans, stabilization incident management. Explicit objective — finance team autonomy on their ERP, not dependence on the integrator.

— Productization of Power BI dashboards on a multi-entity portfolio: semantic model (DAX, Power Query M), automated refresh on ERP extracts, drill-down by cycle — data quality KPIs, aging balance, pre-close monitoring, internal control indicators directly consumable by partners and client management.

— Automation of recurring controls in VBA, Power Query M, and DAX: reconciliations, netting, account justifications, intercompany cross-checks, assisted analytical review. Data quality control as a daily business, at the portfolio level — not as a one-off assignment task.

— ISA / NEP audits on SMEs and startups portfolio: full sales, purchasing, treasury, fixed assets, fixed production cycles — account justifications, cross-checks, analytical review. Closing adjustments, corporate tax returns (liasses 2065 IS), multi-entity IFRS consolidation, R&D tax credits (CIR / CII / JEI).