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Hi there, I am Ananth Rangarajan

How to reach me : LinkedIn Badge

Summary

  • I recently graduated from Arizona State University with Masters in Computer Science
  • I am currently looking for full-time Software Engineer, Data Analyst, and Data Engineer opportunities. Feel free to reach out to me through LinkedIn 😃

Skills

Some of my skills include:

  • Programming languages: Python C++ Javascript
  • FrontEnd technologies: HTML5 CSS3
  • Backend Technologies: FLASK NODEJS FastAPI
  • Database Technologies: MySQL PostgreSQL Microsoft SQL Server SQLite
  • Frameworks: Tensorflow Keras Sci-Kit Learn Pandas Numpy
  • Software Technologies: Tableau Figma Git Postman AWS Docker

Work Experience

  • Software Engineer Intern, Knipper Health:
    · Engineered a robust automated ETL solution utilizing SSIS and SSMS to seamlessly migrate data from Excel files to SQL Server database, reducing manual effort by nearly 40%.
    · Designed an error-logging mechanism for SSIS package to simplify debugging and troubleshooting and reduce manual debugging time by ~70%.
    · Established an efficient reporting system using SSRS and SSMS software for data visualization, enabling clients to generate reports seamlessly on front-end, saving significant manual effort and improving overall efficiency by 60%.


  • Analyst, Deloitte Support Services India Pvt.Ltd:
    · Deployed a process to Automate Excel-based reports using SQL Server, SSIS, Excel VBA, and UI Path. Automating these reports reduced manual effort and debugging time for team.
    · Collaborated with a team of 6 to design data visualizations for clients using SQL Server, Tableau, MS Access, and Sharepoint. These dashboards provided an interactive platform to view data and gather important insights from data.


  • Summer Intern, Invendis Technologies (India) Pvt.Ltd:
    · Generated a pipeline to read large data from SQL Workbench using Python, SQLLite, Numpy, and Pandas to fetch the data and perform mathematical operations.
    · Constructed interactive data visualization dashboards using SQL Workbench and Tableau for data fetched, so clients can gather better insights.

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