Back to All Articles

TechHub Learner to Product Analyst at Cardekho (Full Interview)

Anshika Tejwani, a final-year Computer Science student and learner from the Tech Academy Data Analytics Mentorship Program, shares her journey from learning analytics tools and building projects to securing a Product Analyst opportunity at CarDekho.  

In this interview, she discusses her background, learning routine, projects, interview rounds, use of AI, internship experience, and advice for freshers. 

Key Highlights of the Interview

In this podcast, Anshika shares:

  • Her journey from a Computer Science student to a Product Analyst Trainee at CarDekho. 
  • Why she chose Data Analytics and Tech Academy. 
  • The skills she learned, including Excel, SQL, Python, and Power BI. 
  • How practical projects helped her prepare for job interviews. 
  • Her experience with the CarDekho interview process. 
  • How she uses AI for automation and productivity. 
  • Her learning routine and approach to continuous improvement. 
  • Advice for freshers starting a career in Data or Product Analytics. 

Watch the Full Interview

Want to hear it directly from Anshika? Watch the complete interview below.

Student Highlight

Metric Detail 
Student Name Anshika Tejwani 
Current Role Product Analyst Trainee 
Company CarDekho 
Previous Background Final-year CS student, also built her own startup 
Key Tools Used Excel, SQL, Python, Power BI, BigQuery, GA4, Looker Studio 
Learning Path Tech Academy Data Analytics Mentorship Program
Projects Built 10 to 11, including an Uber capstone 
Learning Duration 4 months 
Interview Rounds Cleared 3 (HR, Excel and SQL, Python)
Time to Job Course ended October, hired by February

Anshika's Background: Why a CS Student Chose Analytics

Anshika was in her final year of Computer Science when she started the Data Analytics course. She already knew some Python and SQL. What she did not know was how any of it connected to real business decisions. 

She had also built her own startup, and that changed how she looked at data. Running something of her own meant paying attention to customers, website traffic, and what was actually working. It made her want to understand the reasons behind the numbers, not just the numbers themselves. 

That curiosity turned into questions she wanted to answer:

  • Why is this happening? 
  • What do customers actually want? 
  • How are users moving through a website? 
  • Which data helps a business make a better decision? 

Analytics was where those questions had answers.

Recommended Professional Certificates