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ESG stands for Environmental, Social, and Governance. The pillars of ESG are the three key factors used to measure the sustainability and ethical impact of an investment in a company.
Environmental: Focuses on a company's impact on the environment, such as carbon emissions, waste management, and resource conservation.
Social: Considers how a company manages relationships with employees, suppliers, customers, and the comm...
Clean energy refers to energy sources that produce minimal or no harmful emissions, such as solar, wind, hydro, and geothermal power.
Clean energy sources are renewable and sustainable, unlike fossil fuels.
Examples of clean energy sources include solar power, wind power, hydroelectric power, and geothermal power.
Clean energy helps reduce greenhouse gas emissions and combat climate change.
Investing in clean energy techno...
Scope 1, 2, and 3 refer to different categories of greenhouse gas emissions.
Scope 1 emissions are direct emissions from sources that are owned or controlled by the organization, such as fuel combustion in boilers or vehicles.
Scope 2 emissions are indirect emissions from the generation of purchased electricity, heat, or steam consumed by the organization.
Scope 3 emissions are all other indirect emissions that occur in t...
Scope 4 refers to the indirect emissions that occur in the value chain of the reporting company, including emissions from purchased goods and services, transportation, and waste disposal.
Scope 4 emissions are not included in the traditional greenhouse gas reporting scopes 1, 2, and 3.
These emissions are often more difficult to measure and manage compared to direct emissions.
Examples of scope 4 emissions include emissio...
TCFD, GRI, and SASB are frameworks used for reporting on climate-related financial disclosures, sustainability, and material ESG factors.
TCFD stands for Task Force on Climate-related Financial Disclosures, providing recommendations for voluntary climate-related financial disclosures by companies.
GRI refers to Global Reporting Initiative, offering a framework for sustainability reporting to help organizations understand...
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I applied via Campus Placement and was interviewed before Feb 2023. There were 2 interview rounds.
Simple questions on aptitude, maths and English
Few MCQ and some mixed questions
Python coding test intermediate
I applied via Referral and was interviewed before Apr 2023. There were 2 interview rounds.
Maths with basic aptitude questions
Aptitude Test along with python, sql, statistics mcq
Python coding and sql
General aptitude questions
Was given a topic and asked to talk about for 2 mins
LatentView offers a dynamic work environment with opportunities for growth and learning in the field of analytics.
LatentView has a strong reputation in the analytics industry for delivering innovative solutions to clients.
The company values continuous learning and development, providing employees with opportunities to enhance their skills.
LatentView offers a collaborative work culture where employees can work on divers...
I expect a supportive work environment, opportunities for growth, and clear communication.
Supportive work environment where I can collaborate with team members
Opportunities for growth and advancement within the company
Clear communication regarding expectations, feedback, and goals
I applied via Newspaper Ad
Basic coding questins
Aptitude test was easy, you can prepare it with online available resources
We were asked to complete few games which were related to logical thinking
It was a common topic and was 1 hour long
I applied via Campus Placement and was interviewed in Jul 2022. There were 5 interview rounds.
There were 48 questions to be done in 60 minutes.
the platform used was below average.
about 1400 gave the test
The Next round was a GD.
about 250 were shortlisted.
it was held in groups of 10 - 13.
there were 2 Panelists observing the body language, the fluency and time you speak for.
It is very important that you either start or conclude the GD.
leaves a good impression.
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information.
It involves collecting and organizing data
It includes statistical analysis and visualization
It helps in making informed decisions
Examples include market research, financial analysis, and scientific research
SQL Queries using Joins and sub-queries
Joins are used to combine rows from different tables based on a related column
Sub-queries are queries nested within another query
Joins and sub-queries can be used together to retrieve specific data from multiple tables
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Interview experience
based on 8 reviews
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