👋 Hi, I'm Anass Hamdy

Economics Graduate  |  Data Analytics  |  Business Intelligence

📧 Email 💼 LinkedIn 🐙 GitHub 📜 Credly

About Me

I am Anass Hamdy, an Economics & Management graduate from Morocco, building an interdisciplinary path at the intersection of economics, data analytics, and business decision-making.

Through independent projects and continuous upskilling, I have developed practical experience in Python, R, SQL, Excel, and Power BI, with a focus on customer analytics, forecasting, segmentation, and business performance analysis.

My objective is to apply analytical methods to real managerial and policy-relevant questions — not only to generate insights, but to support actionable decisions in organizations operating in complex and international environments.

I am now applying for Master's programs in Germany (Winter 2026/27) that combine methodological rigor with practical relevance in economics, analytics, information systems, innovation, and management.

Why Germany

Germany offers the academic and professional environment I am seeking: high-quality, internationally recognized graduate education, strong links between universities and industry, and a clear emphasis on applied, evidence-based problem-solving.

The programs I selected reflect this fit: they combine quantitative analysis, digital tools, business strategy, and international perspectives. This aligns with my long-term goal of becoming a data-driven professional who can work across business, technology, and economic contexts.

I am particularly motivated by Germany's practice-oriented learning culture, interdisciplinary teaching, and strong labor-market demand for analytical profiles in business and technology.

Languages: Arabic (native) · French (fluent) · English (fluent) · German (currently improving toward B2)

🛠️ Skills & Tools

Data Science & Machine Learning

Python (Pandas, Scikit-learn, Keras, TensorFlow) R · RStudio · R Markdown Machine Learning Deep Learning (LSTM, Neural Networks)

Business Intelligence & Workflow

SQL Excel / Google Sheets Microsoft Power BI IBM Cognos Git & GitHub Jupyter Notebooks

Quantitative Methods & Econometrics

Regression Modeling Time-Series Analysis (ARIMA) Optimization (Linear Programming) Hypothesis Testing Statistical Inference

📂 Featured Projects

📊 Customer Segmentation & Marketing Insights

Used R and K-Means clustering to segment 2,240 customers into 4 named personas (Budget Shoppers, Mid-Range Buyers, Premium Customers, High-Value Loyalists) based on spending, income, and campaign engagement. Applied outlier detection on income, used aggregate features to eliminate multicollinearity, validated cluster quality with silhouette scores, and visualized results via PCA plots, box plots, and a centroid heatmap. Includes per-segment marketing recommendations.

R K-Means Clustering PCA ggplot2 Silhouette Analysis Outlier Detection
📄 View Report

📈 Microsoft Stock Price Forecasting with LSTM

Forecasted Microsoft's adjusted close price using a deep learning LSTM model trained on 37 years of historical data (1986–2023). Used MinMaxScaler normalization, a 60-day sliding window for temporal context, and early stopping to prevent overfitting. Evaluated with RMSE, MAE, and MAPE on a held-out test set. Includes recursive multi-step forecasting and a full train/val/test split visualized in USD.

Python LSTM Keras TensorFlow Scikit-learn Time-Series MinMaxScaler
📈 Interactive Report

🚗 Car Sales Strategy: Value Retention & Market Entry

Full analysis of 157 car models across 30 manufacturers using Python and Excel. Computed 1-year retention rates for every brand, built a market positioning map (price × volume × retention), identified the highest-depreciation risks for fleet and leasing businesses, and produced strategic recommendations for market entry. Porsche leads at 91.7% retention; Lincoln Town Car loses $21,600 in year one.

Python Matplotlib Excel Business Strategy Market Analysis
📄 Full Analysis & Findings 📊 Presentation (PDF) 📋 Excel Workbook 🗃️ Raw Data

🏦 Banking Transactions SQL Analysis

SQL analysis of 2,000 Moroccan banking transactions (2022–2023) covering 490 customers and 21.9M MAD in volume. Includes 15 queries exploring transaction status breakdown, channel failure rates, regional performance, year-over-year growth, customer age segmentation, and credit risk.

SQL SQLite Window Functions Data Analysis
📂 GitHub Repo 🔍 View Queries 📄 Full Report

💰 Personal Finance Tracker

A fully client-side personal finance web app. Features income & expense tracking, live balance summary, monthly bar charts, expense breakdown donut chart, monthly budget limits with progress bars, date range filtering, CSV export, and dark mode. No backend — data persists in localStorage.

HTML CSS JavaScript Chart.js localStorage
🔗 Live App 📂 GitHub Repo

🐍 Car Sales Data Analysis (Python)

Data analysis project using a car sales dataset (157 rows, 16 columns) to explore sales patterns, pricing, and performance metrics. Includes a full Markdown report with charts and reproducible steps.

Python Pandas Matplotlib Jupyter
📄 Report 🗃️ Full Project on GitHub

📜 Certifications

📧 Contact & Resources

Feel free to reach out or explore more: