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posted on 24 May 2021
Data can be extracted from various sources like databases, APIs, flat files, etc. and transformed using ETL tools before loading into BI.
Identify data sources and their accessibility
Choose appropriate ETL tool for data extraction and transformation
Design data model and schema for BI
Load data into BI using ETL tool
Validate and verify data accuracy and completeness
posted on 20 Feb 2025
NER training using deep learning
I approach assignments by breaking them down into smaller tasks, setting deadlines, and regularly checking progress.
Break down the assignment into smaller tasks to make it more manageable
Set deadlines for each task to stay on track
Regularly check progress to ensure everything is on schedule
Seek feedback from colleagues or supervisors to improve the quality of work
I applied via Job Fair and was interviewed in May 2024. There were 3 interview rounds.
They gave a span of 3 days to build an AI-powered webapp
I have experience working with cloud technologies such as AWS, Azure, and Google Cloud Platform.
Experience in setting up and managing virtual machines, storage, and networking in cloud environments
Knowledge of cloud services like EC2, S3, RDS, and Lambda
Experience with cloud-based data processing and analytics tools like AWS Glue and Google BigQuery
Developed a predictive model for customer churn in a telecom company
Collected and cleaned customer data from various sources
Performed exploratory data analysis to identify key factors influencing churn
Built and fine-tuned machine learning models to predict customer churn
Challenges included imbalanced data, feature engineering, and model interpretability
posted on 18 Jan 2025
I was interviewed in Dec 2024.
Asked the question about ml and basic python questions
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