Data scientist/Machine learning engineer
Summary
Executed and implemented a complete software development life cycle
Built, maintained, and improved AWS services dedicated to the Elastic Block Store (EBS) volume attachment experience of Elastic Compute Cloud (EC2) customers.
Developed and tested new metric structures for understanding the behavior of I/Os and migrated the existing metrics to the new structures. Implementation of new metric structures achieved multiple goals as mentioned below:
o Built, implemented and tested new APIs to support the new metric structures for customer visualization.
Expectations
In my next job, I would like to solve great problems that have an impact on the world by involving with a good team of diverse members and ideology in an eco-friendly environment. The company should have good work culture.
Employment Preferences
Relocation destinations:
- Sacramento, California, United States
- San Francisco, California, United States
- Denver, Colorado, United States
- Dallas, Texas, United States
- Austin, Texas, United States
- Houston, Texas, United States
- Orlando, Florida, United States
- Miami, Florida, United States
- San Diego, California, United States
- New York City, New York, United States
- Bentonville, Arkansas, United States
- Phoenix, Arizona, United States
- Boston, Massachusetts, United States
- Arlington, Virginia, United States
- Salt Lake City, Utah, United States
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Big-Tech Companies
Enterprise Experience
Skills
- Python
- NumPy
- SciPy
- Pandas
- TensorFlow
- Scikit-learn
- Pytorch
- C
- Java Script
- R
- Html
- Java
- C++
- Bash
- Tableau
- SAP Business Warehouse
- SAP HANA
- SAP Lumira
- Qlik Sense
- Microsoft Excel
- Hadoop
- SPARK
- Hive
- Map-reduce
- Git
- Google Analytics
- MS Access
- MS Visio
- Frameworks
- MySQL
- Oracle
- Redash
- Amazon Web Services
- Linux
- Project Scoping
- Problem-solving
- Software Programming
- Analytical Skills
- GIT
- Data Visualization
- Database Management
- Business Analytics
- Programming For Data Science
- Big Data
- Statistics
- Machine Learning
- Deep Learning
- NLP
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