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3 hours, Basic aptitude questions, 3 coding questions, MCQ programming questions
Data science is used in various industries like finance, marketing, healthcare, and transportation to analyze trends, make predictions, and optimize processes.
Finance: Predictive analytics for stock market trends and risk assessment.
Marketing: Customer segmentation and targeted advertising campaigns.
Healthcare: Predictive modeling for disease diagnosis and treatment.
Transportation: Route optimization and demand forecas
I applied via Walk-in and was interviewed in Mar 2024. There were 3 interview rounds.
Write a VLOOKUP Formula.
Simple Join Questions in SQL
Guesstimate - How many white maruti swift car is available in Delhi?
Over Forecasting Methodology involves predicting higher values than the actual outcome.
Over forecasting can lead to excess inventory and increased costs.
It can also result in missed sales opportunities due to inaccurate predictions.
Common causes of over forecasting include relying on outdated data or not considering external factors.
For example, a company may over forecast demand for a product leading to excess stock t...
Around 60 questions were asked including aptitude and basic coding in 2:30 hrs.
I rate myself highly in SQL and Python.
I have extensive experience in writing complex SQL queries and optimizing database performance.
I am proficient in Python and have used it for data analysis, automation, and web scraping.
I have worked on various projects where I utilized both SQL and Python together to extract, transform, and load data.
I am familiar with popular SQL databases like MySQL, PostgreSQL, and Oracle, as ...
What people are saying about Tredence
Basic aptitude, verbal, and coding tests with one program to run and execute. The remaining questions are multiple-choice questions and one guestimate question.
Tredence interview questions for designations
Aptitude test consist of 4 segment
1. Quantitative aptitude
2.verbal ability
3. Data interpretation
4. Short written ( who is better gifted or hard worker..??) this question ask to me AND second question is on guesstimating (how much car sold in India in 2018 ) solved based on assumption and calculations.
5. It was consign round which has 3 questions 1 easy 1 moderate 1 tough of 20,20,50 marks respectively
To reduce error in a model, I use techniques like cross-validation, regularization, and feature selection. I use matrices like confusion matrix and correlation matrix. Data is mapped using techniques like normalization and encoding.
Reduce error in model by using techniques like cross-validation, regularization, and feature selection
Use matrices like confusion matrix to evaluate classification models and correlation mat...
Get interview-ready with Top Tredence Interview Questions
I applied via Naukri.com and was interviewed before Jul 2023. There were 2 interview rounds.
Custom reports in Salesforce allow users to create personalized reports based on specific criteria.
Custom reports can be created by selecting the desired fields, filters, and grouping criteria.
Users can also add charts, graphs, and tables to visualize the data in the report.
Custom reports can be scheduled to run at specific times and be shared with other users.
Examples of custom reports include sales performance by reg...
Salesforce is a CRM platform used for various implementations like sales, marketing, customer service, etc.
Sales Cloud for sales automation
Service Cloud for customer service management
Marketing Cloud for marketing automation
Community Cloud for building online communities
Einstein Analytics for data analysis
Company's expectations should be clearly communicated to employees to ensure alignment and success.
Clearly outline job responsibilities and performance metrics
Provide regular feedback and opportunities for growth
Encourage open communication and collaboration within teams
I have used techniques like hyperparameter tuning, feature engineering, and model selection in Databricks for optimization.
Hyperparameter tuning using GridSearchCV or RandomizedSearchCV
Feature engineering to create new features or transform existing ones
Model selection using techniques like cross-validation or ensemble methods
Basic focus on aptitude questions
Easy to crack, just focus on basics
I applied via Walk-in and was interviewed before Oct 2023. There were 2 interview rounds.
Aptitude Test was moderate in nature
To predict sofas sold in a city, analyze historical sales data, consider population size, income levels, housing trends, and competitor activity.
Analyze historical sales data to identify trends and patterns
Consider the population size of the city as a potential market
Take into account income levels of residents to determine purchasing power
Analyze housing trends to understand demand for furniture
Consider competitor act
2 Interview rounds
based on 42 reviews
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