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I applied via campus placement at Indian Institute of Management (IIM), Kolkatta and was interviewed in Apr 2024. There were 2 interview rounds.
To target the right customer segment for a premium credit card, I would analyze customer data, conduct market research, and create targeted marketing campaigns.
Conduct market research to identify potential customer segments who are likely to be interested in a premium credit card.
Analyze existing customer data to understand spending habits, income levels, and credit history to identify potential target segments.
Create ...
ONDC would impact Amazon by increasing competition and potentially leading to lower prices for consumers.
ONDC would introduce more competition in the online retail space, forcing Amazon to innovate and improve its services to stay ahead.
Amazon may need to lower prices or offer better deals to compete with other online retailers on the ONDC platform.
ONDC could also provide Amazon with opportunities to reach new customer...
I applied via Referral and was interviewed in Sep 2024. There were 5 interview rounds.
1 python and 1 SQL coding along with ML questions mostly related to monitoring and basic ML
1 python code and also related to ML ...the recruiter came with a dataset to solve
Guestimates, project discussions and Case Studies
Project indepth discussion and case study related Fraud Detection
posted on 25 Oct 2024
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There were 2 interview rounds.
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Developed a predictive model to forecast sales based on historical data
Collected and cleaned historical sales data
Performed exploratory data analysis to identify trends and patterns
Built and trained machine learning model using regression techniques
Evaluated model performance using metrics like RMSE and MAE
I applied via LinkedIn and was interviewed in Dec 2023. There was 1 interview round.
My current work involves analyzing transaction data to identify patterns and trends, which can help PayU optimize their payment processing services.
Analyzing transaction data to identify fraudulent activities and improve security measures for PayU
Developing predictive models to forecast transaction volumes and optimize payment processing times
Utilizing machine learning algorithms to personalize user experiences and inc...
A Transformer is a type of deep learning model that uses attention mechanisms to improve the efficiency of sequence-to-sequence tasks.
Utilizes self-attention mechanism to weigh the importance of different input elements
Commonly used in natural language processing tasks such as machine translation and text generation
Examples include BERT, GPT, and Transformer-XL
We were trained for 2 weeks on web dev. and data science and were given individual 2 projects, according to the performance on them and a final interview, candidates were selected.
based on 1 review
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