Farah Hossam | Data Science Portfolio

About Me

A client’s success partner and a results-driven Data Scientist, I combine analytical thinking with the attention to detail I developed through my background as an Architectural Engineer. I help businesses transform complex raw data into clear, actionable insights that support smarter decisions and better outcomes.

I have hands-on experience with Python, Power BI, and SQL, with a strong focus on Machine Learning, Predictive Modeling, Data Analysis, and Data Visualization. My technical expertise includes data cleaning, ETL, MLOps, model building, and deployment.

Beyond technical expertise, I am a client-oriented professional who believes that understanding the business problem comes before solving the data problem. I value clear communication and close collaboration to deliver reliable, data-driven solutions that uncover insights, minimize risks, and turn business challenges into successful outcomes.

Education

Graduate of Data Science track

Jul. 2026 - Jan. 2027

Digital Egypt Pioneers Initiative (DEPI)

Bachelor Of Landscape Architecture

Sep. 2016 - Jul. 2021

Ain Shams University - Faculty of Engineering

- Grade: Very Good

Skills

Technical Skills

Data Cleaning & Preprocessing
Exploratory Data Analysis (EDA)
ETL Processes
Data Visualization
Machine Learning and Predictive Analytics
Machine Learning Operations (MLOps)
Data Modelling

Tools and Technologies

Python | Pandas | NumPy
Matplotlib | Seaborn | Jupyter Notebook
SQL | Power Query
Power BI
Scikit-learn
Git | GitHub
DAX

Soft Skills

Skilled Communicator
Eager Learner
Detail-Oriented Critical Thinker

Languages

Arabic: Native
English: Very Good
French: Good

Experience

Data Scientist

Oct. 2026 - Present

Freelancing platforms

Conducted data preprocessing and cleaning.
Deployed predictive data models using machine learning.
Developed data visualizations to support data-driven decision-making.

Key projects: Web scraping, Sales forecasting and customer segmentation.

Offered Services

Data Cleaning & ETL

Cleaning, transforming, and structuring raw datasets into reliable, analysis-ready data for accurate reporting and informed decision-making..

Data Visualization & Dashboards

Creating interactive and automated dashboards in Power BI and Excel to turn complex data into clear, actionable insights.

Predictive Analytics & Machine Learning Models

Building and evaluating machine learning models to identify patterns, predict outcomes, and uncover insights that support smarter business decisions..

Projects

Tesla vs GameStop Stock Performance and Revenue Analysis

Stock Performance & Revenue Analysis: Tesla VS GameStop

An end-to-end data analysis project comparing Tesla and GameStop through historical stock prices and revenue data. The analysis covers data collection, cleaning, exploratory data analysis, revenue growth, stock performance trends, and key business insights. An interactive Streamlit dashboard presents the findings through visualizations and comparative metrics.

Google Colab Python yfinance BeautifulSoup Pandas Matplotlib Plotly Streamlit

Documentation View Dashboard

Capital Bikeshare Data Analysis: Demand and Rider Behavior

Demand & Rider Behavior Analysis: Capital Bikeshare

An end-to-end SQL and Python analysis of 16 million Capital Bikeshare trips from 2020 to 2024, stored and queried in SQLite. The project compares member and casual riders, bike types, trip duration, peak hours and weekdays, busiest stations and routes, and weather impact, then turns the findings into practical business recommendations.

Kagglehub Google Colab Python SQL SQLite Pandas Matplotlib

Documentation

Contact Information

+201201370010

farahossamoussa@gmail.com

linkedin.com/in/farahhossam

github.com/FarahHossamEldin

Thank You!

Driven by curiosity. Powered by data. Focused on impact.

Turning data into insights, insights into decisions, and decisions into success.

Thank you for visiting. I look forward to creating meaningful impact through data together.