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I applied via Naukri.com and was interviewed in Oct 2023. There were 3 interview rounds.
Programming an algorithm
Understand the problem and define the desired outcome
Break down the problem into smaller steps
Choose the appropriate programming language and tools
Implement the algorithm using code
Test and debug the algorithm for correctness and efficiency
I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.
Uses labeled data for training
Predicts outcomes based on input features
Examples include regression and classification algorithms
Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any predefined output labels.
No predefined output labels are provided for the training data
The model must find patterns and relationships in the data on its own
Common techniques include clustering and dimensionality reduction
Examples: K-means clustering, Principal Component Analysis (PCA)
posted on 17 May 2024
I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.
Precision = TP / (TP + FP), Recall = TP / (TP + FN)
Precision is the ratio of correctly predicted positive observations to the total predicted positive observations
Recall is the ratio of correctly predicted positive observations to the all observations in actual class
Example: If a model predicts 100 positive cases, out of which 80 are actually positive, precision = 80/100, recall = 80/total actual positive cases
R2 measures the proportion of variance explained by the model, while adjusted R2 adjusts for the number of predictors in the model.
R2 is the proportion of variance in the dependent variable that is predictable from the independent variables.
Adjusted R2 penalizes the addition of unnecessary predictors in the model, providing a more accurate measure of the model's goodness of fit.
R2 can increase even when adding irreleva...
posted on 17 Sep 2024
I applied via Approached by Company and was interviewed before Jul 2023. There were 2 interview rounds.
Reinsurance Contracts
I applied via Approached by Company and was interviewed in Aug 2022. There was 1 interview round.
Charts are used to represent data visually. Different types of charts are used based on the type of data and purpose.
Line charts for showing trends over time
Bar charts for comparing values
Pie charts for showing proportions
Scatter plots for showing relationships between variables
Heat maps for showing density or distribution
Histograms for showing frequency distribution
Box plots for showing distribution and outliers
Gantt
I applied via Referral and was interviewed before Jul 2021. There was 1 interview round.
I am a highly qualified professional with several years of experience in the field.
I have a Bachelor's degree in Business Administration.
I have 5 years of experience working in the finance industry.
I am skilled in financial analysis, budgeting, and forecasting.
I have successfully managed large-scale projects and teams.
I am proficient in various financial software and tools.
I have a proven track record of achieving targ
posted on 25 Jun 2022
I applied via Naukri.com and was interviewed before Jun 2021. There were 2 interview rounds.
Try to have basic knowledge of computers
posted on 18 Sep 2022
I applied via Campus Placement and was interviewed before Sep 2021. There was 1 interview round.
Key Performance Indicators (KPIs) are metrics used to evaluate the success of a project.
KPIs are specific, measurable, achievable, relevant, and time-bound metrics used to track progress towards project goals.
Examples of KPIs in a data analysis project could include data accuracy, completion time, client satisfaction, and cost savings.
KPIs help in monitoring and improving the performance of the project team and ensurin
Power BI allows uploading up to 1 million rows and 1,500 columns in a dataset.
Power BI allows uploading a maximum of 1 million rows in a dataset.
Power BI allows uploading a maximum of 1,500 columns in a dataset.
Exceeding these limits may result in performance issues.
My weakness is overthinking, but my strengths include attention to detail, problem-solving skills, and strong analytical abilities.
Weakness: tend to overthink situations, which can sometimes lead to indecision
Strengths: attention to detail, able to identify patterns and trends, strong problem-solving skills, excellent analytical abilities
based on 1 interview
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