Data Scientist

"Data is the oil of the 21st century!" Just as oil powered the economies of the last century, data is driving innovation and decision-making today. Unlock the power of data for smarter decisions!

As a Data Scientist and Statistician with two years of experience leveraging data to enhance decisions inside institutions. my goal is to ensure that data doesn't just sit in servers but turns raw data into insights and actionable solutions to help organizations unlock the hidden potential within their data.

With a strong background in statistics, data analysis, and machine learning, I specialize in using Excel, Power BI, SPSS, EViews, SQL, R, and Python to optimize operations and support key business objectives. My expertise includes:

Data collection, preparation, and cleaning to ensure high-quality, reliable data.
Exploratory data analysis and trend visualization to uncover meaningful insights.
A/B testing, time series analysis, and statistical modeling for data-driven decision-making.
Machine learning techniques to solve complex business challenges and drive strategic initiatives and operational efficiency.

If you're looking for a data professional who can transform raw data into valuable business insights, uncover hidden opportunities, and solve complex problems with precision, I’m here to help.

Let’s connect to explore how I can support your organization's growth through data-driven strategies.

🚀 Let’s unlock the power of data to make smarter, more efficient decisions! 🚀

Experience

Data Quality Engineer & Analyst at Hayah Laboratories. Jul 2025 – Present

Responsible for data preparation, validation, and integration (ETL) to deliver unified, accurate datasets. Designed and built dashboards and reports to support data-driven decision-making.

Data Scientist and Statistician, Khamsat September 2023 - Present

Collaborated with clients to develop data-driven solutions that supported informed decision-making. Also teach statistical concepts and data analysis techniques to master’s students.

Coached Students on Freelancing, DEPI (Data Science IBM Track). Review October 2024 – December 2024

Guided students in portfolio development and strategies for a successful freelance career.

Head Data Science Trak at IEEE Al-Azhar, Cairo, Egypt October 2021 - September 2022

Organized workshops and practical training in Data Science.

Education

Master of Statistics, Faculty of Graduate Studies and Statistical Research, Cairo University.

September 2023 – September 2026 (Expected)

Pursuing advanced studies in statistics with a focus on modern statistical techniques and scientific research methodologies. The study includes advanced probability theory, inferential statistics, econometrics, time series analysis, and multivariate analysis. Gaining practical experience in designing questionnaires, collecting, organizing, analyzing, and interpreting data through projects involving statistical programs such as SPSS, Stata, Minitab, EasyFit, and R.(Pre-M.Sc. final project: Panel Data)

Diploma of Data Science, Epsilon AI Academy.

August 2021 – June 2022

Completed a comprehensive program in Data Science covering computer science fundamentals, Python programming, SQL, data cleaning, data Preprocessing, and machine learning. Used tools such as Jupyter Notebook, and GitHub to implement the final project Systemic-And-Banking-Crises (github.com).

Bachelor of Statistics, Faculty of Commerce, Al-Azhar University.

September 2018 – August 2022

In the early years, I studied accounting, economics, insurance, and statistics. After specializing, I studied advanced mathematics, probability theories, and statistical methods, including regression analysis and hypothesis testing.

Courses

Inferential Statistics, Coursera

August 2022 – November 2022

Mastered inferential statistics concepts including hypothesis testing, confidence intervals, and regression analysis. Utilized statistical tools and methods to draw meaningful conclusions from data and support data-driven decision-making using R.

Introduction to Probability and Data with R, Coursera

February 2022 – April 2022

Acquired foundational skills in probability theory and data analysis using R. Focused on data manipulation, exploratory data analysis, and visualization techniques to interpret and communicate data insights effectively.

Data Analysis Advanced Track, Udacity

August 2021 – November 2021

Specialized in advanced data analysis methodologies, gaining expertise in complex data sets, and advanced statistical techniques With Applied knowledge through hands-on projects and real-world data challenges to enhance analytical skills.

Data Analysis Professional Track, Udacity

February 2021 – April 2021

Completed a Studied includes in advanced data analysis techniques, including data visualization, statistical modeling, and predictive analytics for data-driven decision-making.

Skills

Data Visualization: Excel, Power BI.

Database: SQLite, PostgreSQL, My SQL, SQL Server.

Programming Languages: Python, R.

Formworks and libraries: NumPy, Pandas, Matplotlib, Seaborn, Beautiful soup, Request, Scikit learn, Pytorch, transformers.

Data Preprocessing: Data Cleaning, Feature Engineering, Feature Transformation.

Machine Learning: Supervised and Unsupervised Learning.

Development Platforms: Jupyter, Google Colab, Azure Cloud.

Version Control: WSL, Bash, Git, GitHub, Anaconda.

Statistics Program: SPSS, Stata, Minitab, EasyFit, EViews.

Soft Skills: Problem-Solving, Critical Thinking, Organization, Self-learning, Teamwork, Communication.

Languages: Arabic (Native proficiency), English (Professional working proficiency).

Mohamed Abd-Almgyd-Data Scientist.pdf