Accenture
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I applied via Company Website and was interviewed in Jun 2022. There was 1 interview round.
A data management plan is a document that outlines how data will be collected, organized, stored, and shared.
A data management plan (DMP) is a formal document that describes the processes and procedures for managing data throughout its lifecycle.
It includes details on data collection, storage, organization, documentation, sharing, and preservation.
A DMP ensures that data is managed effectively, securely, and in complia...
Trauma refers to a deeply distressing or disturbing experience that can have long-lasting psychological and emotional effects.
Trauma is an event or experience that overwhelms a person's ability to cope.
It can result from various sources such as accidents, abuse, violence, or natural disasters.
Trauma can lead to symptoms like flashbacks, nightmares, anxiety, depression, and difficulty in functioning.
Examples of trauma i...
Forecasting problem - Predict daily sku level sales
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
Bias is the error introduced by approximating a real-world problem, leading to underfitting.
Variance is the error introduced by modeling the noise in the training data, leading to overfitting.
High bias can cause a model to miss relevant relationships between features and target variable.
High variance can cause a model to ...
Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.
Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.
Examples of parametric models inc...
I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
SCD type 2 is a method used in data warehousing to track historical changes by creating a new record for each change.
SCD type 2 stands for Slowly Changing Dimension type 2
It involves creating a new record in the dimension table whenever there is a change in the data
The old record is marked as inactive and the new record is marked as current
It allows for historical tracking of changes in data over time
Example: If a cust...
My project structure follows a modular approach with separate folders for data ingestion, processing, and storage.
Separate folders for data ingestion, processing, and storage
Use of version control for tracking changes
Documentation for each module and process
Unit tests for data pipelines
Logging and monitoring for tracking data flow
DAG stands for Directed Acyclic Graph, a data structure used to represent dependencies between tasks in a workflow.
DAG is a collection of nodes connected by directed edges, where each edge represents a dependency between tasks.
It is acyclic, meaning there are no cycles or loops in the graph.
DAGs are commonly used in data processing pipelines to ensure tasks are executed in the correct order.
Example: In a DAG representi...
I applied via Naukri.com and was interviewed in Mar 2024. There was 1 interview round.
posted on 19 Nov 2024
I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.
1. Questions on spark basica
2. Sql coding questions
3. Java or scala basics
I applied via Naukri.com and was interviewed in Nov 2022. There were 3 interview rounds.
TF-IDF is a statistical measure used to evaluate the importance of a word in a document.
TF-IDF stands for Term Frequency-Inverse Document Frequency
It is used to weigh a word's importance in a document by considering its frequency in the document and across all documents
The formula for TF-IDF is: TF-IDF = TF * IDF
TF (Term Frequency) measures how frequently a term appears in a document
IDF (Inverse Document Frequency) mea...
Group by is used to group data based on a column while window function is used to perform calculations on a specific window of data.
Group by is used to aggregate data based on a specific column
Window function is used to perform calculations on a specific window of data
Group by is used with aggregate functions like sum, count, avg, etc.
Window function is used with analytical functions like rank, lead, lag, etc.
Group by ...
Developed a predictive model to forecast customer churn for a telecom company.
Used machine learning algorithms like logistic regression and random forest.
Preprocessed and cleaned the dataset by handling missing values and outliers.
Performed feature engineering to create new variables for better model performance.
Evaluated model performance using metrics like accuracy, precision, and recall.
Implemented the model in prod
Seeking new challenges and opportunities for growth.
Looking for a more challenging role that aligns with my career goals.
Seeking a company that values innovation and encourages professional development.
Want to work in a more collaborative and diverse team environment.
Desire to explore new technologies and industries.
Current company lacks opportunities for advancement or career growth.
I applied via Referral and was interviewed in Dec 2022. There were 3 interview rounds.
I am basically commerce oriented student.i know basic typing,ms office like ms word and ms excel.and I am having tally certificate from college.
I applied via Approached by Company and was interviewed in Dec 2022. There were 2 interview rounds.
I applied via Recruitment Consulltant
Logical Reasoning Quants English and SQL medium level
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