I have been a programmer for some 10+ years now. I have worked as Data Analyst, Data Engineer, Automation Engineer.
Tools & Technologies:
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⚙ SAS | SQL | Python | R | Tableau | PowerBI
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🍽 Unix | Mainframe | Windows
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💾 Oracle | DB2 | Teradata | SQL Server
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📃 Jira | Confluence
Employment History:
- 💻Wells Fargo | JP Morgan Chase | Kaiser Permanente
Projects worked upon:
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Table Drive Processes: A very flexible, scalable and self documenting approach used
for performing jobs like:
- Extraction, Transformation and Loading of datasets.
- Documenting Changes in the code.
- Model Monitoring of Key Performance Indicators(KPIs).
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Data Quality | Auto Analysis Bot | Machine Learning:
- Access the quality of data coming in.
- Machine Learning Algorithms- Principal Component Analysis to identify anomalies
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Automation | Scheduling:
Automate jobs so that everyone has more time for ☕
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Adhoc:
How can any employee of any company not have Adhoc?
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StoryTelling:
Collecting, Analyzing and then presenting the data to tell stories to stakeholders.
Currently Learning:
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Statistics/Mathematics behind various Algorithms
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How to deploy Machine Learning Algorithms into Production environment.
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Coursera: Data Visualization with Tableau Specialization (pursuing)
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Coursera: Statistics with Python
Contact Info: LinkedIn