Filter interviews by
I applied via Referral and was interviewed before Feb 2023. There was 1 interview round.
The Python algorithm question is about solving a problem using Python programming language.
Python algorithm questions typically involve solving a problem using Python programming language.
The solution may require the use of data structures, loops, conditionals, and other Python concepts.
Examples of Python algorithm questions include finding the maximum value in an array, sorting an array, or implementing a search algor
Contains mcqs and coding questions on python
Gd on current affairs
I applied via Referral and was interviewed before May 2023. There was 1 interview round.
SQL Joins , window functions
I applied via Recruitment Consultant and was interviewed in Jul 2021. There were 3 interview rounds.
Time series data can be analyzed using statistical methods and machine learning algorithms.
Preprocess the data by checking for missing values and outliers.
Visualize the data using line plots, scatter plots, and histograms.
Apply statistical methods such as autocorrelation, cross-correlation, and time series decomposition.
Use machine learning algorithms such as ARIMA, LSTM, and Prophet for forecasting and anomaly detecti...
Logistic regression is a statistical method used to analyze and model the relationship between a categorical dependent variable and one or more independent variables.
It is used to predict the probability of a binary outcome (e.g. yes/no, true/false).
It is commonly used in marketing, finance, healthcare, and social sciences.
It assumes a linear relationship between the independent variables and the log-odds of the depend...
Business aspects considered while framing a problem
Identifying the root cause of the problem
Analyzing the impact of the problem on the business
Considering the available resources and budget
Assessing the potential risks and benefits of different solutions
Evaluating the feasibility and sustainability of the proposed solution
Factors considered while modelling
Data availability and quality
Choice of modelling technique
Assumptions and simplifications
Model validation and testing
Business objectives and constraints
Convergytics Solutions interview questions for popular designations
Top trending discussions
posted on 25 Nov 2024
I applied via Walk-in and was interviewed in Oct 2024. There were 2 interview rounds.
Minerals are naturally occurring inorganic substances with a definite chemical composition, while metals are a type of mineral that have high electrical conductivity and luster.
Minerals are inorganic substances found in nature, while metals are a subset of minerals with specific properties.
Metals have high electrical conductivity, malleability, and luster, distinguishing them from other minerals.
Examples of metals incl...
Sponge iron is a metallic product produced through the direct reduction of iron ore in the form of lumps, pellets, or fines.
Sponge iron is also known as direct reduced iron (DRI).
It is produced by removing oxygen from iron ore through a chemical reaction using natural gas or coal as a reducing agent.
Sponge iron is used as a raw material in the production of steel through the electric arc furnace (EAF) or basic oxygen f
WHRB in rotary kiln stands for Waste Heat Recovery Boiler, which is used to recover heat from the exhaust gases of the kiln.
WHRB is a type of boiler that captures and reuses the heat energy from the exhaust gases of a rotary kiln.
It helps in improving the overall energy efficiency of the kiln operation.
The recovered heat can be used for various purposes such as preheating combustion air or generating steam for power ge...
Iron smelting process is a method of extracting iron from its ore using heat and reducing agents.
Iron ore is heated in a blast furnace with coke (carbon) and limestone as reducing agents.
The coke burns to produce carbon monoxide, which reacts with the iron ore to release the iron metal.
The limestone helps to remove impurities from the iron ore, forming slag as a byproduct.
The molten iron is then collected at the bottom...
I applied via LinkedIn and was interviewed in Jun 2024. There was 1 interview round.
posted on 1 Aug 2024
First process was Case study on word
I applied via LinkedIn and was interviewed in Sep 2023. There were 2 interview rounds.
Blend combines data from different data sources in a single view, while join combines data from the same data source.
Blend is used when data comes from different data sources, join is used when data comes from the same data source
Blend creates a relationship between data sources without actually merging the data, join merges the data based on a common field
Blend can be used to combine data from different databases like...
posted on 20 Apr 2023
I applied via Approached by Company and was interviewed in Mar 2023. There were 3 interview rounds.
For the very first call it was an hour long intense grilling by the CEO and head of sales about my current company, our competitors and their competition. Alluding to the fact that they would love my connections to my current companies providers. I left, telling my wife that I was 90% sure hey were gathering intelligence, with no plans to make a hire for this role in general.
The biggest issues in selling to the US market currently are intense competition, changing customer preferences, and economic uncertainty.
Intense competition from both domestic and international companies
Changing customer preferences and demands for personalized experiences
Economic uncertainty due to trade tensions and political instability
Increased focus on ethical and sustainable practices
Stringent regulations and co...
Our current survey provider is SurveyMonkey.
We have been using SurveyMonkey for the past year.
Their platform is user-friendly and allows us to easily create and distribute surveys.
We also appreciate their robust reporting and analytics capabilities.
We have found their pricing to be competitive compared to other survey providers in the market.
A good 1st year target for a Sales Director would be to achieve 120% of the annual sales quota.
Aim to exceed the annual sales quota by at least 20%
Set realistic targets based on market trends and company goals
Develop a strong sales strategy and motivate the sales team to achieve targets
Regularly review and adjust targets based on performance and market changes
To break through to the US market, we need to focus on market research, building relationships with key stakeholders, and adapting our sales strategies.
Conduct thorough market research to understand the US market landscape, customer preferences, and competition.
Identify and build relationships with key stakeholders such as potential clients, industry influencers, and partners.
Adapt our sales strategies to align with th...
based on 2 interviews
Interview experience
based on 12 reviews
Rating in categories
Business Consultant
62
salaries
| ₹3.1 L/yr - ₹12 L/yr |
Senior Business Consultant
15
salaries
| ₹10 L/yr - ₹19 L/yr |
Business Analyst
9
salaries
| ₹3 L/yr - ₹9.5 L/yr |
Data Scientist
8
salaries
| ₹4 L/yr - ₹11.5 L/yr |
Data Analyst
8
salaries
| ₹2.3 L/yr - ₹11.2 L/yr |
Fractal Analytics
Mu Sigma
Tiger Analytics
LatentView Analytics