Data Analyst
Summary
Conducted analysis on storage technologies in SQL and concluded current technologys efficiency to be better by 40%
Devised a framework for tracking products performance on the companys website to gain insights and usage patterns
Created Tableau reports to translate visualize the data quality issues for preventive solutions in business use case
Designed web application for 30 test systems and deployed on all production systems utilizing Docker
Automated ad hoc reporting mechanism in Python and SQL to dynamically produce reports on a daily, weekly, monthly and quarterly basis by 100%
Work in United States
Employment Preferences
Expected Base Salary
**,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Python
- Pandas
- NumPy
- Scikit
- Matplotlib
- Plotly
- Seaborn
- SQL
- Java
- Perl
- HTML
- CSS
- MySQL
- Oracle
- MongoDB
- Microsoft SQL Server
- PostgreSQL
- SOSQL
- T-SQL
- Tableau
- Power BI
- Advanced Excel
- Pivot Table
- SFDC
- Amazon RDS
- Git
- Airflow
- JIRA
- Flask
- Salesforce Analytics
- Talend
- Alteryx
- TOAD
- Informatica
- Data-modelling Kimball
- Star
- Snowflake
- OLAP Concepts
- Predictive Models
- Time Series
- Regression
- Classification
- Clustering
- A
- B Testing
