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Vineetsarpal / case-study-bellabeat.

Google capstone project case study 2

  • Updated Aug 19, 2021

GuilhermeSoaresGarcia / data_analysis_case_study_cyclistic

Repositório com o estudo de caso de uma empresa de compartilhamento de bicletas fictícia, a Cyclistic, proposta pelo Coursera como projeto final da certificação de Data Analytics do Google

  • Updated Jul 18, 2023

longenbach / Cox-Case-Study

Technical assessment for Cox Automotive Data Science II position

  • Updated Aug 31, 2021

brucewzj99 / data-analytics-casestudy

A case study I did for my Google Data Analytics Capstone

  • Updated Feb 24, 2024

Bashir7x / Google-Data-Analyitcs-Capstone-Project-e-Cyclistic-bike-share-analysis-case-study-

The following is my first full Data Analysis project, It's the capstone project for the Google Data Analytics certificate (Cyclistic)

  • Updated Apr 17, 2022

shivani-nadkarni / BikeShareCaseStudy

A Bike rentals firm wants to design marketing strategies that will encourage casual riders to take up annual membership. This project aims to analyse Bike Rides data for the last one year and generate insights that will help the stakeholders to make key decisions. Data analysis/visualisations have been done using Excel, R and SQL.

  • Updated Nov 26, 2021

lfontanills / bikeshare-case-study

Case study #1 from Coursera Google Data Analytics Certification

  • Updated Feb 22, 2023

longenbach / IXIS-Data-Science-Interview

Mukeshmk / statistical-modelling.

statistical modelling of the wine data-set available at https://www.kaggle.com/zynicide/wine-reviews

  • Updated May 14, 2020

DigitalCausalityLab / hairdresser_example

Repo for the case study: Collider Bias - The Hairdresser Example

  • Updated Jan 19, 2024

DouweHorsthuis / A-Bellabeat-Case-Study-Google-Data-Analytics

A case study to finish of the Google Data Analytics Course

  • Updated Jun 27, 2022

srivastav-gaurav / Case-study-Google-Data-Analytics-Bike_Share

  • Updated Jul 15, 2021

pnp642001 / Cyclistic_Case_Study

This is my first major project cum case study in the domain of Data Analytics. The link for the notebook: https://www.kaggle.com/code/parth642001/case-study-for-the-cyclisitc

  • Updated Aug 13, 2022

anargha2005 / LogisticRegression

HR Analytics Case Study

  • Updated Jan 11, 2018

togiberlin / data_mining_cup

Data science with R: predicting car insurance conversion rate and engine part failure rates (binary classification)

  • Updated Nov 16, 2020

tanaymukherjee / Case-Study-Predicting-Bankruptcy

Based on available data from bank and parameters to identify the variables that influence the most, predict the bankruptcy of the given financial model

  • Updated Jan 4, 2020

joemar25 / CS-Elect-2-Mid-Term

Data Mining Mid Term Project is a case-study project that focuses on data analysis. With R, we have done our best to present the Data in a more meaningful and impactful way that could improve the financial/ecommerce/market decision making and others. Dataset is scrapped from https://www.flipkart.com/

  • Updated May 23, 2023

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Tiger Analytics Interview Experience for Senior Analyst (Off-Campus)

Think globally, and impact millions . That’s the driving force behind Tiger Analytics , a data-driven powerhouse leading the AI and analytics consulting world. Tiger Analytics tackles challenges that resonate across the globe, shaping the lives of millions through innovative data-driven solutions. More than just a company, Tiger Analytics fosters a culture of expertise and respect, where collaboration remains supreme. With headquarters in Silicon Valley and delivery centres scattered across the globe, including India’s bustling hubs of Chennai, Hyderabad and Bangalore.

Recently, I have been through the interview experience of Tiger Analytics and would like to share my whole interview experience. Each round was an elimination round for the interview process.

In total there are 5 rounds:

  • Resume Shortlist/Telephonic Round
  • Technical Round 1
  • Technical Round 2
  • Problem-Solving

Round 1 (Telephonic Round) :

I received a call from HR and she asked me some basic questions like Tell me about yourself, my roles and responsibilities in the current project, why I’m looking for a job change and how much salary do you expect.

After a few mins, she called me again and told me that my resume had been shortlisted for further rounds.

So let’s jump into the interview process.

Round 2 (Technical Round)

This was a pure technical round. The interviewer asked about multiple approaches to one coding problem. It was more like a discussion and the interviewer wanted to judge my thinking process and communication skills.

Then he asked me about my current project roles and responsibilities, then he jumped into microservice architecture since my current project was based on microservice architecture.

  • How does microservice architecture promote CI-CD deployment ?
  • What is the purpose of the API gateway?
  • Authentication and Authorization access in microservices
  • Difference between monolithic and microservices
  • Difference between relational and non-relational database
  • How will you scale the database?

He asked me the coding question related to 3Sum . I gave a brute force approach where a method is used to generate all possible triplets and compare the sum of every triplet with the given value.

However, the interviewer was not happy with O(n 3 ) time complexity and then asked me to optimize the code. Then I solved the same question using a pointer approach with O(n 2 ) time complexity.

Round 3 (Technical Round)

This was again a pure technical round. The interviewer started with the basic ReactJS questions like closure, hoisting, useMemo, useContext, hooks, custom hooks, redux-saga, map, filter, reduce, promises, synchronous, async, await etc.

Then he asked me to share the screen and we jumped into the live environment. The problem statement was very easy and simple. I had to fetch the data from an API and display it on the page.

I easily solved the problem and then he asked some some questions related to promise and useEffect. I was able to answer all the questions.

Then he asked one coding question which I solved in Python. The problem statement was related to finding the frequency of duplicate items with slight modifications. I gave a brute force approach and later solved it using an optimised approach.

Then he asked me a few questions related to SQL like joins and keys. He asked me to solve the two SQL queries. I was able to solve the first query which was related to finding the second highest salary from the table and the second query was related to self-join.

Round 4 (Problem Solving)

Asked project-related questions and approached to few case study questions. He asked me one coding question related to the best time to buy and sell to maximize profit . I started with the brute force approach and solved the question in O(n 2 ) time complexity.

However, the interviewer was not satisfied with my approach and asked me to further improve. Then I solved the same question in O(N) time and O(1) space complexity.

In the case study round, he asked me to design a billing system with all the necessary tables. Then he asked me some cross questions like how joins will work in our tables, how to store bank-related information securely in the DB etc.

Round 5 (HR Round)

Typical HR questions were asked, namely strengths, weaknesses, values, why Tiger, etc. Also asked a few questions from my Resume.

All the rounds were eliminatory. After all the interview rounds (held on the same day), I was selected.

Preparation Strategy

I would suggest practising sufficient DSA problems and joining some full-stack development courses. This was all I did! Additionally, if you have some prior knowledge in Machine Learning/Cloud Computing/Monitoring, it would be an advantage in cracking senior roles.

Fortunately, I got selected. I hope you too are!

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