Mustafa Raja — Portfolio

May 2025 – Apr 2026

MHIRJ — Mitsubishi Heavy Industries

Business Development & Reporting Analyst

Supported exec-level financial reporting & P&L oversight across business units exceeding $60M, building financial models that improved budgeting accuracy by 20% and cut reporting cycle time by 30%.
Built and maintained business performance dashboards and KPI trackers, contributing to a 15% improvement in operational planning efficiency across fiscal cycles.
Designed AI-assisted workflows to manage end-to-end recruitment coordination for a national internship program serving 200+ employees, cutting administrative overhead by 40%.

May 2024 – Apr 2025

Al Manarat

AI Technical Content Developer

Developed AI-focused technical content and educational materials used across training pipelines serving diverse learners.
Translated complex AI and ML concepts into structured, accessible content aligned with curriculum and learning outcomes.
Collaborated cross-functionally to review, edit, and refine content quality, improving learner engagement and comprehension.

Aug – Dec 2024

Utopia Logistics

Financial Analyst Intern

Developed financial models that improved budget allocations by 2.5% and strengthened P&L management.
Streamlined financial data pipelines using NumPy/MySQL, speeding up insight delivery to senior management by 50%.
Analyzed P&L reports and COGS data to surface cost-saving opportunities that reduced departmental expenses by 2%.

Oct 2023 – May 2024

Oxford Learning Centres

STEM Tutor

Delivered personalized STEM instruction to students across math, science, and computer science subject areas.
Designed structured lesson plans and progress tracking tools to improve student performance and retention rates.
Mentored students through problem-solving frameworks, building analytical thinking skills applicable to technical coursework.

Jan – Apr 2023

Markaz Umaza

Project & Risk Management Intern

Built project management dashboards and KPIs to track financial forecasting and project timelines across community org.
Reduced operational risk by coordinating cross-functional execution and keeping marketing spend aligned with financial targets.
Set up AI workflows to automate reporting and documentation, cutting manual overhead and speeding up project delivery.

May–Aug 2022 & 2023

Day to Day Logistics

Data Science & Financial Analyst Intern

Built structured data pipelines and AI-assisted workflows to consolidate insurance and maintenance datasets, cutting manual risk reporting time and improving cost structures.
Improved financial governance by bringing AI automation into invoice processing and general ledger coding, reducing reconciliation time and sharpening forecasting accuracy.
Built quantitative financial models in C and Unix/Linux to analyze truck fleet insurance, driver costs, and operating expenses, improving efficiency by over 50%.

Mustafa
Raja.