Looking for a job

mazen ayoub

@mazenayoub

Data analyst in the ITG Incubator Program building a financial intelligence engine for benchmarking NVIDIA, Intel, and TSMC.

Jordan

Message

In the ITG Incubator Program, I’m developing TitanPluse, a financial intelligence and market analytics engine that benchmarks NVIDIA, Intel, and TSMC. I’m automating financial calculations and building dashboards with Python, FastAPI, Gradio, and n8n.

For my Nike & Adidas Market Sentiment & KPI Forecasting Dashboard, I processed more than 500,000 rows of retail sales data and used advanced DAX to track corporate KPIs. I also integrated Python-based sentiment analysis to compare consumer perception across three product categories.

I built an NLP sentiment engine that classified more than 10,000 customer reviews and reached 87% accuracy, with insights displayed in Power BI. My other projects include a DCF valuation platform for NVIDIA and financial and workforce analytics dashboards.

Experience

Work history, roles, and key accomplishments

Current

Titan Pluse Project Developer

Current

ITG Incubator Program

Sep 2026 - Present (1 month)

Engineering an end-to-end financial intelligence and market analytics engine to benchmark tier-1 tech giants through rigorous mathematical comparison. Developing scalable corporate capstone projects that merge enterprise-level software engineering with AI-driven analytics workflows and automated data synchronization via n8n.

Python fastAPI Gradio Pandas AI Workflows Financial Modeling N8n

Current

Nike & Adidas Market Sentiment & KPI Forecasting Dashboard

Current

ITG Incubator Program

Feb 2026 - Present (8 months)

Processed and structured over 500,000+ rows of unstructured retail sales data utilizing optimized SQL joins and ETL architectures. Constructed advanced DAX measures to track critical strategic corporate KPIs, including digital revenue streams and relative market share tracking.

Power BI DAX SQL Joins Python Sentiment Analysis Google Sheets

NLP Sentiment Engine on Customer Experience

ITG Incubator Program

Deployed a machine learning text processing pipeline utilizing NLTK and TextBlob to classify over 10,000+ unstructured customer reviews, automated via n8n integration. Trained a text classification engine reaching 87% accuracy, mapping insights directly to an analytical PowerBI dashboard for real-time customer behavior tracking.

Python Pandas NLTK TextBlob Machine Learning Power BI N8n

HR Workforce Analytics & Compensation Performance Analytics

ITG Incubator Program

Designed high-level HR executive dashboards visualizing corporate payroll distribution, global pay equity insights, and talent retention patterns. Transformed fragmented, static data sources into fully structured Star-Schema models to report cross-departmental employee utilization and talent churn.

Power BI Presentation DAX HR Analytics Compensation Benchmarking Google Sheets

NVIDIA Valuation & Financial Analysis Platform

ITG Incubator Program

Developed a comprehensive financial valuation model based on Discounted Cash Flow (DCF) and quantitative financial multiples analysis. Analyzed complex revenue drivers and microeconomic competitive landscapes to estimate NVIDIA's intrinsic valuation, uncovering a modeled upside of ~22%.

Excel Google Sheets Python Pandas DCF Modeling Business Valuation

S&P Global Market & Financial Operations Dashboard

ITG Incubator Program

Engineered an interactive, production-ready financial dashboard tracking key equity research metrics and operational performance KPIs. Applied advanced ETL workflows to seamlessly ingest, clean, and transform complex, multi-layered S&P macroeconomic datasets.

Power BI Advanced ETL Data Modeling Star Schemas Excel Google Sheets