Data Analyst Intern Resume
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TECHNICAL SKILLS
Computer: MS Word, PowerPoint, Excel, Python, SQL, Tableau, AutoCAD.
Technical: Solids Modeling, Data Visualization, Optimization analysis, Project management, Technology assessment, Technical writing ability.
PROFESSIONAL EXPERIENCE
Data Analyst Intern
Confidential
Responsibilities:
- Analyzed and reported on large datasets from multiple sources
- Formatted from raw data into clean data, Updating and correcting clean data
- Used to write complex SQL queries using joins, sub queries and correlated sub queries
- Presented data using Pivot - Tables with Python pandas package
- Performed unit testing to check teh validity of teh data at each stage
- Performed various tasks that included data transformations into various file formats
- Identified trends, outliers, and norms with Python packages
- Created reports for teh users using Tableau by connecting to multiple data sources like MS Excel, PostgreSQL.
Data Analyst Intern
Confidential
Responsibilities:
- Used Python scripts to update content in teh database and manipulate files.
- Incorporated pivot-tables and data models to display/manipulate useful information
- Perform importing, cleaning, transforming and validating data
- Used SQL helped design and build a new database for company's financial data
- Knowledge on Extraction Transformation and Loading (ETL) process
- Used SQL for Querying teh database in PostgreSQL environment
- Experience in data visualization including producing tables, graphs using Tableau
RESEARCH Data analyst
Confidential
Responsibilities:
- Analyzed user experience with data modelers to identify entities and relationship for data modeling
- Collected raw dataset from parking homepage which include teh audiences' experience
- Queried teh databases, wrote test validation scripts
- Incorporated pivot-tables and data models to display/manipulate useful information
- Performed Data Profiling, Data cleaning, and Data Quality
- Data visualization with Python packages and Tableau
- Identified teh trends, outliers, norms, null hypothesis, p-value with Python packages
- Generated final report after testing and discussing with team