Data Analyst
Summary
Im a graduate with a Bachelors Degree from University of North Carolina - Charlotte with a major in Economics. I have worked a year in Business Analytics analyzing business data and providing executives with actionable reports and dashboards. Ive also worked a year in Quality Assurance responsible for auditing processes and products to ensure they're high quality or improve them before release. Additionally, I have worked 5 years in the retail industry which has taught me skills in sales, marketing, communication and much more. Throughout my time in college and work life, I have always had a growth mindset, always looking for the next thing to learn. Please have a glance at my resume to find out more.
Youll find me an enthusiastic, curious and consistent person. Im willing to learn new skills and pay close attention to detail, which I hope I can put to good use.
I have worked on multiple self-started projects, where I explored many datasets focusing on querying the data, cleaning the data and analyzing the data through SQL and Python. I also have created various data pipelines using Azure tools like Azure Synapse, Databricks and Data Factory focusing on extracting raw public datasets and converting them into something meaningful. I set clear objectives and deadlines for myself in order to complete these projects in a timely manner. I believe that my project experience, work experience and being Microsoft certified in data analytics and data engineering will help me add value to this position and contribute to the organization and team.
Expectations
Looking for a career shift an opportunity to grow and learn in the field of data analytics.
Employment Preferences
Expected Base Salary
**,000 USD
Academic Degree
Security Clearance Level
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- SQL
- Python
- Java
- Microsoft Excel
- VLOOKUP
- MATCH
- INDEX
- Pivot
- Charting
- Filtering
- Sorting
- Google Sheets
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Jupyter Notebook
- Research
- Trends
- Patterns
- Correlations
- Visualizations
- Descriptive
- Inferential Statistics
- Summary Statistics
- Cross-Tabulation
- Hypothesis Testing
- Probability Testing
- AB Testing
- Multivariate Testing
- Time Series Analysis
- Multiple Linear Regression
- Logistical Regression
- Azure SQL DB
- Microsoft SQL Server
- SSMS
- MySQL
- Power BI
- Power Query
- DAX
- M
- Tableau
- Business Intelligence
- APIs
- Big Data
- Cloud Computing
- ETL
- Relational Database
- Database Management
- Database Structures
- Datasets
- Dataflows
- Data Structures
- Data Quality
- Data Mapping
- Data Processing
- Data Profiling
- Data Cleaning
- Data Modeling
- Data Requirements
- Data Security
- Data Warehouse
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