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3i Infotech
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I applied via Walk-in and was interviewed in Jul 2022. There were 2 interview rounds.
Vlookup is a function in Excel used to search for a specific value in a table and return a corresponding value from another column.
Select the cell where you want to enter the formula
Type =VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])
lookup_value is the value you want to search for
table_array is the range of cells containing the table
col_index_num is the column number from which you want to return th...
I applied via Job Portal and was interviewed before Feb 2023. There was 1 interview round.
I applied via Naukri.com and was interviewed in Dec 2021. There was 1 interview round.
I applied via Referral and was interviewed before Dec 2023. There were 2 interview rounds.
I applied via Naukri.com and was interviewed before Jun 2022. There were 3 interview rounds.
Find duplicate value in list of integer
I appeared for an interview before Mar 2024.
Technical Discussion
Technical Discussion with Coding Test
I worked as a project manager at a consulting firm, leading teams to deliver strategic solutions for clients across various industries.
Managed a team of 10 consultants to deliver a market entry strategy for a tech startup.
Conducted data analysis to identify key trends, resulting in a 20% increase in client revenue.
Facilitated workshops with clients to align project goals and expectations, enhancing client satisfaction.
...
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.
Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.
Boosting is used to improve the accuracy of models and reduce bias and variance.
I applied via Naukri.com and was interviewed before Nov 2023. There were 2 interview rounds.
Create a business requirement document
Strengths include strong analytical skills and attention to detail. Weaknesses may include difficulty with public speaking and time management.
Strengths: strong analytical skills
Strengths: attention to detail
Weaknesses: difficulty with public speaking
Weaknesses: time management
Some mcq questions and coding question. Both where easy to medium level. Prepare combination/permutation/Time complexity etc
A question related to Binary search and some other follow ups.
based on 1 interview
Interview experience
based on 16 reviews
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