Welcome to my GitHub profile! I am a Data Scientist with over 3 years of experience as a Data Analyst and Data Scientist. I hold a Master’s in Statistics and am skilled in end-to-end data workflows, from collection and cleaning to deploying machine learning and deep learning models. Proficient in Python, PyTorch, and Docker, I leverage my academic background and professional certifications in Business Intelligence to develop data-driven solutions. My passion lies in using advanced algorithms to drive impactful, innovative, and strategic business decisions.

About Me:

🔭 With around 3 years of experience in Data Modeling, Visualization, Business Intelligence, and Data Analytics, I specialize in designing, developing, and maintaining efficient data solutions.

💡 My expertise extends to creating and managing Databases, Data Warehouses (DWH), and Extract Transform Load (ETL) processes, ensuring streamlined data operations.

🚀 I'm certified with the IBM Professional Data Analyst Certificate and the IBM Professional Data Scientist Certificate. Additionally, I hold a Diploma in Statistics, equipping me with the skills to deliver valuable insights that drive data-informed decision-making for organizations

• Programming Languages: Python, R, SQL
• Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly
• Statistical Analysis: Hypothesis Testing, Regression Analysis, A/B Testing, Time Series Analysis
• Machine Learning: Scikit-learn, TensorFlow, Keras (if applicable)
• Data Cleaning & Transformation: Pandas, NumPy, Dask
• Data Modeling: Designing and implementing effective data structures, Dimensional Modeling, Data Warehousing
• Business Intelligence: Developing and implementing BI solutions, KPI Tracking, Dashboard Design
• ETL Processes: Designing and managing ETL workflows, Data Integration, Apache Airflow
• Database Management: MySQL, PostgreSQL, MongoDB, Oracle
• Big Data Technologies: Hadoop, Spark (if applicable)
• Cloud Platforms: AWS (Amazon Redshift, S3), Google Cloud Platform (BigQuery), Azure (SQL Database, Data Factory)
• Version Control: Git, GitHub
• Collaboration Tools: Jupyter Notebooks, Microsoft Excel, Google Sheets
• Data Governance & Security: Data Privacy, Compliance, Data Quality Management
• Advanced Analytics: Predictive Modeling, Data Mining, Optimization Techniques

Analytical Thinking: Excellent problem-solving and critical-thinking abilities. Communication: Ability to convey complex data findings in a clear and concise manner. Collaboration: Skilled in working with cross-functional teams to achieve objectives. Attention to Detail: Ensuring accuracy and quality in data analysis and reporting.

👨‍💻 Experience:

Data Analyst with three years of experience in designing and implementing data solutions. Extensive work on business intelligence projects, including data modeling and visualization.

🎓 Education:

Master's in Statistics | 2024 Faculty of Science, port said University Research Focus: Forecasting in Various Applications Using Hidden Markov Model /

http://www.eulc.edu.eg/eulc_v5/Libraries/Thesis/BrowseThesisPages.aspx?fn=PublicDrawThesis&BibID=13074160
research paper : Prediction Using Markov Model and Hidden Markov Model for the States of Banknotes https://ajbas.journals.ekb.eg/?_action=article&au=681231&_au=Mosaad+Mohammed+Hendam

Diploma in Statistics, Mathematics, and Computer Science | 2020-2021 Faculty of Science, Mansoura University

Bachelor of Mathematics | 2006-2010 Faculty of Science, Mansoura University

🚀 Certifications:

• IBM Data Analyst Professional Certificate
• IBM Data Science Professional Certificate
• IBM Business Intelligence (BI) Analyst Professional Certificate
• IBM Machine Learning Professional Certificate

🌐 Languages:

Arabic (Native) English (Fluent)

🚧 Projects Summary:

• Published research in a scientific journal on machine learning algorithms (Prediction Using Markov Model and Hidden Markov Model for the States of Banknotes (, Alfarama Journal of Basic & Applied Sciences. https://doi.org/10.21608/AJB AS.2024.241492.1190

• participation by oral presentation in the first international conference in green science (Detecting counterfeit banknotes and their values using the Markov model and hidden Markov model) held in port said 24-25 September 2023.

• Data Integration and ETL Pipelines: Designed and implemented comprehensive data integration and ETL (Extract, Transform, Load) pipelines utilizing Azure Data Factory. Demonstrated proficiency in extracting data from diverse sources, applying necessary transformations, and efficiently loading it into the designated target data store. This project showcased my ability to streamline data workflows and ensure seamless data processing from extraction through to storage.

• Data Visualization and Reporting: Developed interactive dashboards and reports using Power BI, leveraging connections to Azure data sources. Demonstrated proficiency in creating compelling visualizations that effectively communicate insights to stakeholders. This project highlighted my skill in transforming complex data into clear, actionable information, enhancing decision-making processes within the organization.

• Serverless ETL Solution with Azure Functions and Python: • Designed and implemented a serverless ETL (Extract, Transform, Load) solution using Azure Functions and Python. Utilized Azure Data Lake Gen 2 as the data source, applying comprehensive transformations to the data, and seamlessly loading the processed data into Azure SQL Database. This project showcased my proficiency in leveraging cloud technologies to automate data workflows efficiently, ensuring scalability and cost-effectiveness in data processing operations.

• Automated Data Integration Pipeline: Build an end-to-end data integration pipeline using Power Automate and Logic Apps to extract data from various sources, transform it as needed, and load it into a data warehouse or Power BI for reporting and analysis. This project demonstrates your ability to create a robust and automated data flow. • Google Drive File Management Automation:

• Developed a Google Apps Script to automate file organization in Google Drive based on criteria such as file type, creation date, or keywords. This solution enhances file management efficiency by systematically categorizing and maintaining files, ensuring easy accessibility and organization.

• Google Forms Integration with Google Sheets:

• Created a Google Apps Script that integrates responses from Google Forms, processes the data, and stores it in a Google Sheets database. This script facilitates seamless data collection and management for various purposes including surveys, feedback forms, and other data-driven activities, improving workflow efficiency and data organization.

📫 How to reach me:

LinkedIn: https://www.linkedin.com/in/mosaad-hendam/

Email: [email protected]

Twitter: https://x.com/HendamMosa25996

kaggle : https://www.kaggle.com/mosaadhendam