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From Pharmacy to Data Analytics: Nandini Athwani’s Story

Nandini Athwani, a learner from the Tech Academy Data Analytics Course, transitioned from a pharmacy background to a career in data analytics, landing her first role as an Operations Analyst at Stockverse, a US-based stock trading company, just months after completing the program.

In this in-depth interview, she shares her career switch, learning routine, projects, interview experience, the tools that helped her get hired, how she uses AI in her day-to-day work, and her advice for freshers starting a career in Data Analytics.

Key Highlights of the Interview

In this interview, Nandini shared her journey related to:

  • Career switch: Biology to Pharmacy to Data Analytics to Operations Analyst 
  • First interview, first offer: This was Nandini’s first-ever interview, and she got selected. 
  • Role: Operations Analyst supporting a 20-person sales team at a US stock trading firm. 
  • Core tools: Advanced Excel, SQL, Power BI, Python, and AI. 
  • Daily work: Mostly data cleaning, organizing large sales/enrollment/payment datasets, and building Power BI dashboards. 
  • Interview focus: Excel case tasks, basic Power BI questions, and strong communication. 
  • AI at work: Uses AI to generate query logic, understand APIs, and speed up dashboard work. 
  • Advice: Be consistent, focus on projects, and don’t fear starting from zero. 

Watch the Full Interview

What does Nandini’s journey from Pharmacy to Data Analytics really look like? Watch her full interview to find out.

Student Highlight

Attribute Details 
Name Nandini Athwani
Course Data Analysis Course
Background Biology student (switched to Pharmacy)
Current Role Operations Analyst
Company Stockverse (US-based stock trading company)
Key Tools Advanced Excel, SQL, Power BI, Python, AI
Work Focus Data cleaning, reporting, dashboards for a 20-person sales team
Interview Outcome First interview (selected as Operations Analyst)

Nandini’s Background: Why a Pharma Student Chose Analytics

Nandini started as a biology student and later moved into pharmacy. While exploring career options, she realized that staying only in pharma might limit her growth in an increasingly AI-driven job market. She noticed that fields like clinical research already handle large datasets, and she wanted a role where she could work directly with data and visualization. That’s when data analytics clicked as the right path.

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