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Data Science Virtual Internship ( 30 August - Nov 22)

Unpaid internship hence no compensation or stipend.

Responsibilities

  • Understand the day-to-day issues that our business faces, which can be better understood with data

  • Compile and analyze data related to business issues

  • Develop clear visualizations to convey complicated data in a straightforward fashion

  • Perform end-to-end POC

Qualifications

  • Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience

  • Proficient in SQL, Python/R, Data Wrangling, Data Visualization( ggplot, seaborn, matplotlib, etc)

Everything will be done virtually. The person may do some productive tasks as part of their learning experience, training, or skill development. Interns can utilize the code and application developed during the internship for their branding and HR networking. Employment type: Internship Compensation: No Unpaid internship hence no compensation or stipend.