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JPMorgan Chase & Co.
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I applied via Referral and was interviewed in May 2024. There was 1 interview round.
posted on 3 Oct 2023
I applied via Referral and was interviewed in Apr 2023. There were 2 interview rounds.
I applied via campus placement at Vellore Institute of Technology (VIT) and was interviewed before Jul 2022. There were 4 interview rounds.
There was an aptitude test with 30 questions to complete within 45 min.
3 Coding questions to complete within 1hr.
I applied via Campus Placement and was interviewed before Mar 2023. There were 3 interview rounds.
Two basic programming questions (30 min) and reasoning/aptitude questions
Use SQL query with WHERE clause to pull data from a table based on a time interval.
Use SQL query with SELECT statement to specify the columns you want to retrieve.
Add a WHERE clause with the condition for the time interval, using appropriate date/time functions.
Example: SELECT * FROM table_name WHERE timestamp_column BETWEEN 'start_time' AND 'end_time';
To maximize sales on a state level, focus on market research, targeted marketing strategies, strong customer service, and strategic partnerships.
Conduct market research to understand the local consumer behavior and preferences
Implement targeted marketing strategies based on the research findings
Provide excellent customer service to build loyalty and attract repeat business
Form strategic partnerships with local business...
I applied via LinkedIn and was interviewed in Jul 2024. There were 3 interview rounds.
Assignment on credit risk
Question on Probability and basic aptitude questions
I applied via Company Website and was interviewed before Aug 2023. There were 2 interview rounds.
Bert and transformer are models used in natural language processing for tasks like text classification and language generation.
Bert (Bidirectional Encoder Representations from Transformers) is a transformer-based model developed by Google for NLP tasks.
Transformer is a deep learning model architecture that uses self-attention mechanisms to process sequential data like text.
Both Bert and transformer have been widely use...
NLP pre processing techniques involve cleaning and preparing text data for analysis.
Tokenization: breaking text into words or sentences
Stopword removal: removing common words that do not add meaning
Lemmatization: reducing words to their base form
Normalization: converting text to lowercase
Removing special characters and punctuation
posted on 6 Jan 2025
SQL & aptitude question
1 coding question for 45 min
posted on 3 Oct 2023
I applied via Referral and was interviewed in Apr 2023. There were 2 interview rounds.
based on 1 interview
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