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Petronas Lead Data Scientist Interview Questions and Answers for Experienced
Petronas Lead Data Scientist Interview Experiences for Experienced
1 interview found
Shreyas Donki
Interview questions for legal executive position at a Real Estate firm in Bangalore karnataka
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Interview Preparation Tips
2. How do you navigate and address the unique challenges posed by local land acquisition laws and processes in Bangalore?
3. Given the cultural and linguistic diversity in Karnataka, how do you adapt your communication and legal strategies to ensure effective collaboration with various stakeholders?
4. Can you provide examples of your experience in handling property title searches and due diligence specifically within the legal framework of Karnataka?
5. Describe your approach to resolving disputes related to real estate transactions in Bangalore, considering local legal nuances and alternative dispute resolution mechanisms.
6. How do you stay informed about local government policies and initiatives that may impact real estate development in Bangalore, and how do you integrate this knowledge into your legal advice?
7. In the context of real estate contracts, what measures do you take to ensure they align with Karnataka's legal requirements and safeguard the firm's interests?
8. Discuss your familiarity with Bangalore's zoning and land use regulations, and how you incorporate this knowledge into legal counsel for real estate development projects.
9. Can you share insights into your experience with Karnataka's stamp duty and registration processes, and how you optimize these aspects for the firm?
10. Given the rapid growth in the tech industry in Bangalore, how do you address legal considerations related to real estate transactions involving technology companies and innovation hubs in the region?
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Interview questions from similar companies
Sejal Shinde
I applied via Campus Placement and was interviewed in Jul 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain your project
- Ans.
Developed a predictive model to forecast sales based on historical data
Collected and cleaned sales data from multiple sources
Performed exploratory data analysis to identify trends and patterns
Built a machine learning model using regression techniques
Evaluated model performance using metrics like RMSE and MAE
- Q2. Oops concept was asked
Anonymous
I applied via Campus Placement and was interviewed in Sep 2024. There were 2 interview rounds.
Mostly easy questions
Cheating overview like should we do it as everyone is doing
Interview Preparation Tips
I applied via Campus Placement and was interviewed in Sep 2024. There were 2 interview rounds.
If everyone is cheating you should also do it?
(4 Questions)
- Q1. Everyhting about project..
- Q2. Linear vs logistic regression
- Ans.
Linear regression is used for continuous variables, while logistic regression is used for binary outcomes.
Linear regression is used to predict a continuous outcome based on one or more input variables.
Logistic regression is used to predict the probability of a binary outcome based on one or more input variables.
Linear regression assumes a linear relationship between the independent and dependent variables, while logist...
- Q3. Normalization in dbms
- Ans.
Normalization in DBMS is the process of organizing data in a database to reduce redundancy and improve data integrity.
Normalization involves breaking down data into smaller, more manageable tables and establishing relationships between them.
It helps in reducing data redundancy, minimizing data anomalies, and improving data consistency.
There are different normal forms such as 1NF, 2NF, 3NF, BCNF, and 4NF, each with spec...
- Q4. List array difference etc
- Ans.
Array difference is finding the elements that are present in one array but not in another.
Use set operations like difference to find elements in one array but not in another.
Example: arr1 = ['a', 'b', 'c'], arr2 = ['b', 'c', 'd'], arr_diff = set(arr1) - set(arr2) = ['a']
Skills evaluated in this interview
I applied via Campus Placement and was interviewed in Oct 2023. There were 3 interview rounds.
Contains questions on aptitude, statistics and SQL
(1 Question)
- Q1. 1. Processes of data analysis 2. Data cleaning process 3. Project discussion on my data analyst project 4. Case study related to the company
(1 Question)
- Q1. 1. Behavioral questions 2. On company values
Selected
I applied via Approached by Company and was interviewed in Jul 2024. There were 2 interview rounds.
(1 Question)
- Q1. Work experience, tools and technologies used , relevant experience, salary expectation
(1 Question)
- Q1. SAP MDM, mdg, excel, power bi, report reconciliation,
Selected
I applied via Naukri.com and was interviewed before Apr 2023. There were 5 interview rounds.
Reverse a binary tree and few other technical questions
(1 Question)
- Q1. Data structure and Oops concepts were asked
(1 Question)
- Q1. Technical round on projects that we have worked on and questions around that
(1 Question)
- Q1. General HR questions
(1 Question)
- Q1. More of like a general conversation with the center manager
Selected
I applied via Company Website and was interviewed before Jan 2022. There were 3 interview rounds.
Most SQL questions. easy to medium level. Will be able to solve it
(2 Questions)
- Q1. Case study round has a scenario based questions need to use SQL and dashboarding concepts
- Q2. Project details are to be shared, tech stack worked on
Interview Preparation Tips
- SQL
- Database
- Big Data
- AWS
(1 Question)
- Q1. All analysis questions, missing values imputation, graph plotting, ML Mathematics and few python language questions.
Selected
I applied via Company Website and was interviewed before Oct 2022. There were 5 interview rounds.
(1 Question)
- Q1. Question as per my skill set from SQL, Unix, Power Center Mappings.
(1 Question)
- Q1. In detail questions on skill sets and writing logic and flow diagram for one of the problem statement
(1 Question)
- Q1. General discussion on expectations and the requirments
(1 Question)
- Q1. Don't remember the exact questions
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