In my role as a Data Analyst, I can data sets to find ways to solve problems relating to a business's customers and communicate this information to management and other stakeholders. The employment of these individuals encompasses many different industries such as business, finance, criminal justice, science, medicine, and government.

2+ years of professional experience as an IBM OpenPages developer, Solution architect, and Business analyst.
Worked as an OpenPages GRC technical lead having experience in installing the IBM OpenPages GRC platform, and configuring OpenPages modules which include developing helpers, triggers, reports, and Cognos reports. Hands-on experience in working with OpenPages utilities such as AURA, FastMap, and AFCON.

SKILLS: -

1. Data Cleaning and Preparation
clean and prepare data for analysis. This includes removing errors, identifying outliers, and transforming data into a format that can be analyzed.

2. Data Analysis and Exploration
This includes using statistical methods to test hypotheses, identify trends, and make predictions.

3. Statistical Analysis
Understanding statistical tests and tools is crucial. Familiarity with mean, median, variance, standard deviation, correlation, regression, and hypothesis testing can be fundamental.

4. Programming
Knowledge of programming languages, especially:
Python: Libraries like pandas, numpy, and scikit-learn are essential for data manipulation and analysis.
R: Another powerful language for statistical analysis and data visualization.

5. Database Management
The ability to query databases using SQL is essential for extracting data.
Knowledge of database systems like MySQL, and PostgreSQL.

6. Creating Dashboards and Reports
Create dashboards and reports that communicate insights to stakeholders. This includes using tools like Tableau, Power BI, and Microsoft Word to create interactive dashboards and reports.

7. Data Visualization
Using tools and libraries like Tableau, Power BI, Matplotlib, and Seaborn, represent data in a visual format that's easy to understand.
8. Excel
Often overlooked, but it's still widely used for data analysis and visualization, especially in smaller datasets or in business settings.
What Tools I can use
1. IBM OpenPages with Watson
2. Cognos Reporting
3. Microsoft Excel
4. VBA
5. Jupyter NoteBook
6. Tableau
7. Microsoft power bi
8. SQL & Postgresql