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dronacharya.ai

Tiger Analytics

PlacementData and MLSoftwareAnalyst

Built from 2 candidate reports with 4 first-hand accounts, covering 2023-24, 2021.

Hiring process

Roles: Data Analyst
  1. 1

    Technical interview

    Round 1
    easy

    introduction · basic statistics · coding

    Interview-style first round per accounts.

  2. 2

    Technical interview

    Round 2

    DBMS · SQL · ML basics · ML projects · pandas dataframe · record-fetch queries

  3. 3

    Technical interview

    Round 3

    current projects · data manipulation

Advice from candidates

6 pieces of advice, in their own words. Names removed.

  • DSA questions practice will be very helpful.

    Round 1 · 2021

  • Coding questions were moderate and thought process behind the code was more important.

    Round 2 · 2021

  • Revised ML slides by [candidate] sir, and practiced SQL queries.

    preparation · 2023-24

  • [candidate] Sir ML course notes, Top 50 interview questions on net

    preparation · 2023-24

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Question patterns reported

The kind of problem, not the problem itself. Our practice questions are written to match these patterns.

  • Technicaloptimise loop-based pseudocode for time complexity
  • Technicalforecast next-day value from historical series
  • Technicalconditional probability with balls in containers
  • Technicalproduct of array except self
  • Technicalone easy coding task