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# Mahum Abid

**Headline:** Advanced Data Scientist at Pearson
**Profession:** Advanced Data Scientist & Business Intelligence
**Location:** Glen Allen, Virginia, United States

## About

Mahum Abid is an Advanced Data Scientist at Pearson\. Mahum’s work centers on combining data pipelines, data quality practices, and predictive analysis to support reliable decisions from complex and messy data\. Her analytical skill set includes supervised learning, forecasting, decision trees, logistic regression, linear regression, regression analysis, A/B testing, hypothesis testing, data mining, and data visualization\. Mahum works across data cleaning, data warehousing, ETL, SQL, PySpark, and relational databases, with experience in MySQL and SQLite as well as Microsoft SQL Server services including SSAS, SSRS, and SSIS\. Her technical toolkit includes Python, TensorFlow, Scikit\-Learn, Keras, Pandas, NumPy, SciPy, Matplotlib, Seaborn, Tableau, Microsoft Power BI, Talend, Informatica, Google Analytics, Git, GitHub, and Jira\. Mahum also brings knowledge of Agile methodologies, Scrum, Waterfall, and the Software Development Life Cycle, alongside leadership training, strong mathematical and analytical skills, and experience working on Mac and Windows environments\.

## Services

- Python \(Programming Language\)
- Speaker broadcast Success networking teams
- Leadership Training
- Strong Math and Analytical skills
- Mac
- Windows
- Scrum
- Waterfall
- Software Development Life Cycle \(SDLC\)
- Agile Methodologies
- Supervised Learning
- Forecasting
- Decision Trees
- Logistic Regression
- Linear Regression
- A/B Testing
- Hypothesis Testing
- Regression Analysis
- Data Mining
- Data Visualization
- Data Cleaning
- Data Warehousing
- Google Analytics
- Data Analysis
- Tableau
- Microsoft Office
- Microsoft Power BI
- Microsoft Excel
- Talend
- Informatica

## Highlights

- Advanced Data Scientist at Pearson with skills spanning predictive analytics, data pipelines, data quality, and data visualization\.
- Listed expertise includes supervised learning, forecasting, decision trees, logistic regression, linear regression, regression analysis, A/B testing, and hypothesis testing\.
- Works with Python, SQL, PySpark, TensorFlow, Scikit\-Learn, Keras, Pandas, NumPy, SciPy, Matplotlib, and Seaborn\.
- Lists data warehousing, ETL, Talend, Informatica, SSAS, SSRS, SSIS, MySQL, and SQLite among data\-engineering and database skills\.
- Uses Tableau, Microsoft Power BI, Microsoft Excel, Google Analytics, Git, GitHub, and Jira\.
- Lists Agile Methodologies, Scrum, Waterfall, and SDLC knowledge\.

## FAQ

### What does Mahum do?

Mahum is an Advanced Data Scientist at Pearson\. Her work and listed skills span predictive analytics, data pipelines, data quality, data preparation, visualization, and machine\-learning tools\.

### Where does Mahum work?

Mahum works at Pearson as an Advanced Data Scientist\.

### What predictive\-modeling and statistical methods does Mahum use?

Mahum’s listed predictive and statistical skills include supervised learning, forecasting, decision trees, logistic regression, linear regression, regression analysis, A/B testing, hypothesis testing, and data mining\.

### What data\-analysis and visualization skills does Mahum have?

Mahum’s data\-focused skills include data analysis, data cleaning, data warehousing, ETL, data visualization, Google Analytics, Tableau, Microsoft Power BI, Microsoft Excel, and Microsoft Office\.

### What programming languages and machine\-learning libraries does Mahum use?

Mahum uses Python and PySpark and lists TensorFlow, Scikit\-Learn, Keras, Pandas, NumPy, SciPy, Matplotlib, and Seaborn among her technical skills\.

### What database and SQL Server technologies does Mahum use?

Mahum’s database and Microsoft SQL Server skills include SQL, MySQL, SQLite, SQL Server Analysis Services \(SSAS\), SQL Server Reporting Services \(SSRS\), SQL Server Integration Services \(SSIS\), and ETL\.

### What data\-integration and development\-workflow tools does Mahum use?

Mahum lists Talend and Informatica for data integration, along with Git, GitHub, and Jira for development workflow and collaboration\.

### What software\-delivery methodologies does Mahum know?

Mahum lists Agile Methodologies, Scrum, Waterfall, and the Software Development Life Cycle \(SDLC\) among her delivery\-methodology skills\.

### What additional professional and workplace skills does Mahum list?

Mahum lists Leadership Training, strong math and analytical skills, Speaker broadcast Success networking teams, and experience with Mac and Windows environments\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/abidmahumda

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