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  • Cape Town, South Africa
  • 10:36 (UTC +02:00)
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Achievement: Pull Shark

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Achievement: Pull Shark

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m-yusri-ajam/README.md

Hi, I'm Mogamad Yusri Ajam, FMVA® 🇿🇦

Digital Transformation & FinOps Specialist | Process Engineer

Bridging the gap between Complex Systems Architecture and Financial Performance.

I specialize in engineering the "Source of Truth" for enterprise-scale operations. With a background in Chemical Process Engineering and a certification in Financial Modeling (FMVA®), I build automated mechanisms to ensure data integrity, cost transparency, and operational velocity.

🛠 My Technical Toolbelt

📊 Financial & Systems Governance

  • ERP Architecture: SAP (PS, MM, HCM), WBS Structure Management, Project Lifecycle Governance.
  • Financial Logic: FMVA® Certified (Financial Modeling & Valuations Analyst), CAPEX/OPEX Tracking, P&L Integration, Budget Forecasting, ROI & Variance Analysis.
  • Governance: Audit Compliance, Technical Procurement, Vendor Management (SLA/SOP Tracking).

🐍 Data Science & Automation

  • Python Stack: Pandas, NumPy, Flask, Matplotlib, Seaborn, scikit-learn, Requests (API Integration).
  • Automation Logic: Fuzzy Matching for Reconciliation, Automated ETL Pipelines, Predictive Variance Modeling, Synthetic Data Generation.
  • Environments & OS: Ubuntu (Primary OS), Windows, Bash/Shell Scripting, VS Code, Git/GitHub, Jupyter.

📈 Business Intelligence & Visualization

  • Power BI: Advanced DAX (Data Analysis Expressions), Star Schema Modeling, Power Query (M Language).
  • Advanced Excel: Financial Modeling, VBA Automation, Power Pivot Mapping.
  • SQL: Relational Database Management, Complex Joins, Data Cleaning & Aggregation.

⚗️ Process Engineering

  • Methodologies: Six Sigma Principles, Mass-Balance Logic, Zero-Defect Frameworks, Root Cause Analysis (RCA).
  • Optimization: Industrial Efficiency Modeling, Systemic Waste Reduction, Process Flow Mapping.

🚀 High-Impact Projects

  • [Automated Financial Reconciliation Engine]: (Link to Repo) Python-based validator that reconciled RM+ project budgets, reducing manual audit time by 30%.
  • [Executive SAP Health Dashboard]: (Link to Repo/NovyPro) Power BI suite designed for CEO-level oversight, achieving a 50% gain in project close-out velocity.
  • [Predictive Resource Modeling]: (Link to Repo) Flask-based analytical layer for high-velocity resource tracking and variance analysis.

📈 Metrics of Success

  • 50% Reduction in operational lead times via SAP lifecycle re-engineering.
  • 91% Industrial process purity achieved through systemic optimization.
  • 100% Audit compliance maintained across enterprise-scale infrastructure portfolios.

📫 Connect with Me

  • LinkedIn: linkedin.com/in/yusri-ajam
  • Location: Cape Town, South Africa
  • Goal: Seeking a career-defining role within global FinOps or Digital Transformation teams where technical rigor and financial strategy intersect.
  • Global Mobility 🌍: Actively seeking international opportunities that leverage specialized technical-financial skillsets.

"In God we trust; all others must bring data." — W. Edwards Deming

Pinned Loading

  1. financial-data-automation financial-data-automation Public

    A library of Python utilities and Bash scripts for automating repetitive ETL tasks and financial reporting workflows.

    Python

  2. finops-reconciliation-engine finops-reconciliation-engine Public

    High-velocity Python-based financial validator for multi-million dollar budget reconciliation and audit integrity.

    Python

  3. industrial-optimizer industrial-optimizer Public

    Process Engineering simulation tools for industrial efficiency, mass-balance calculations, and system purity optimization.

    Python

  4. sap-project-analytics sap-project-analytics Public

    Enterprise-level project governance and lifecycle tracking using SAP WBS logic and SQL-based data architecture.

    Python

  5. corporate-valuation-vault corporate-valuation-vault Public

    A collection of professional-grade valuation models covering fictional startups and real-world titans. Built with FMVA® standards to assess intrinsic value and investment risk.

    Python