Data analyst with over three years of experience, a diverse set of technical skills and expertise in various programming languages including Python (NumPy, Pandas, Matplotlib, Seaborn, Sklearn), SQL, R (tidy verse, dplyr, ggplot), and SAP are possessed.
- Proficiency in using reporting tools such as MS Project, MS Office, MS SharePoint, MS Visio, MS Word, and Vlookups is demonstrated. Additionally, skills in using visualization tools such as Tableau, Maven, and Power BI are showcased.
- Experience with tracking and other tools such as Selenium IDE, Jira, Rational Clear Quest, JAD, and UAT are obtained. Expertise extends to various analysis techniques including cost/benefit analysis, GAP analysis, Risk Analysis, Impact Analysis, and SWOT analysis.
- Expertise with a variety of databases including MS SQL, Oracle, MySQL, IBM DB2, PostgreSQL, and NoSQL is familiar. Additionally, platforms including Google Cloud Platform (GCP), Microsoft Azure, AWS (EC2, S3, RDS), and Google Analytics are worked with. Strong understanding of methodologies such as UML, SDLC, Agile/Scrum, and Waterfall is strong. Lastly, experience in working with multiple operating systems including Windows, Linux, and macOS is obtained.
