Fiz uma entrevista na empresa Tiger Analytics (Hyderābād).
Entrevista
1. Technical Round 1: Foundational Technical Knowledge
Focus: Core Python skills (data handling, loops), SQL (joins, aggregations), and foundational ML concepts (supervised/unsupervised learning, model evaluation).
Key Topics: Data structures, basic coding questions (often LeetCode easy-medium), data manipulation using libraries like Pandas.
Board Infinity
Board Infinity
+3
2. Technical Round 2: In-depth Project Discussion & Advanced Topics
Focus: Deep dive into past project implementations, technical challenges, and specialized knowledge (e.g., RAG-related, transformers, AWS, or data engineering tools like Spark).
Key Topics: Detailed walkthrough of end-to-end workflows (preprocessing, feature engineering, model selection), and complex scenario-based questions.
AmbitionBox
AmbitionBox
+3
3. HR Round: Behavioral and Cultural Fit
Focus: Behavioral questions, career goals, communication skills, and compensation discussions.
Key Topics: Alignment with company culture, team collaboration, handling conflicts, and passion for analytics.
Candidatei-me por meio de uma faculdade ou universidade. O processo levou 1 dia. Fui entrevistado pela Tiger Analytics (Chennai) em nov. de 2024
Entrevista
First they have kept test which has aptitude and coding and for every section there is specific round.
I have passed this. And in interview they have asked about python code because my role is ML engineer
Perguntas de entrevista [1]
Pergunta 1
They have asked what is yield,decorators and they have given one question and told to do it in list comprehension s and they have given some basic questions and also difference between list,tuple and dictionary and at last they have given 2 sum problem
Candidatei-me online. O processo levou 4 meses. Fui entrevistado pela Tiger Analytics (New York, NY) em dez. de 2023
Entrevista
I recently had the displeasure of interacting with Tiger Analytics and must say it was a frustrating and unprofessional experience from start to finish. After a screening call with one of their recruiters, I was asked about my availability for a technical round. Despite promptly providing my availability for the upcoming days, I didn't hear anything back for a whole month.
Out of the blue, I received an email inviting me to a technical round interview, scheduled for the very next day. While I appreciate the opportunity, the suddenness of the invite left me scrambling to rearrange my schedule to accommodate it. This lack of consideration for candidates' time was the first red flag in my interaction with Tiger Analytics.
Nevertheless, I managed to attend the technical round, hoping that it would lead to a smoother process ahead. However, it's been a staggering two months since the interview, and I've heard nothing from Tiger Analytics. Despite reaching out multiple times to inquire about the status of my application, I have been met with silence.
This complete lack of communication and transparency is unacceptable. It reflects poorly on Tiger Analytics' professionalism and leaves candidates feeling disregarded and undervalued. It's evident that their recruitment process is disorganized and inefficient, with little regard for the candidates' time or experience.
I strongly advise potential candidates to think twice before considering a career opportunity with Tiger Analytics. If this is how they treat candidates during the recruitment process, one can only imagine the lack of support and consideration one might receive as an employee.
Perguntas de entrevista [2]
Pergunta 1
graph based coding question that needs to be done in python language