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I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 3 interview rounds.
Key topics in Generative AI include Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
RAG combines generative models with retrieval mechanisms to improve text generation.
LLMs like GPT-3 and BERT are pre-trained on large text corpora to generate human-like text.
Ethical considerations in using LLMs for text generation, such as bias and misinformation.
Applications of RAG and LLMs in natural language pro...
I have a strong understanding of the existing project and the technology stacks used.
The existing project is a data analytics platform used for analyzing customer behavior and making data-driven decisions.
The technology stacks used include Python for data processing, SQL for database management, and Tableau for data visualization.
I have experience working with machine learning algorithms such as regression, classificat
I have contributed to improving data processing efficiency by implementing advanced machine learning algorithms and optimizing existing models.
Implemented advanced machine learning algorithms to improve predictive accuracy
Optimized existing models to increase efficiency and reduce processing time
Developed automated data processing pipelines to streamline workflow
Collaborated with cross-functional teams to integrate new...
Work challenges and solutions in data science role
One challenge is handling large volumes of data efficiently, solution is implementing parallel processing techniques like MapReduce
Another challenge is ensuring data quality, solution is developing data validation processes and implementing data cleaning algorithms
Dealing with complex algorithms is a challenge, solution is continuous learning and staying updated with la
Generative AI and NLP are advanced technologies used to create content and understand human language.
Generative AI involves creating new content, such as images, music, or text, using algorithms like GANs.
NLP focuses on understanding and generating human language, used in chatbots, sentiment analysis, and language translation.
Use cases of Generative AI include deepfake videos, art generation, and text generation.
NLP is...
I appeared for an interview in Aug 2017.
I appeared for an interview in Sep 2016.
I appeared for an interview before Nov 2016.
I applied via Walk-in and was interviewed before Jun 2020. There was 1 interview round.
I applied via Company Website and was interviewed before Jun 2020. There were 4 interview rounds.
MongoDB database algorithms are used for efficient data storage, retrieval, and processing.
MongoDB uses various algorithms for indexing, sharding, and aggregation.
Indexing algorithms include B-tree, hash, and text search indexes.
Sharding algorithms include range-based, hash-based, and zone-based sharding.
Aggregation algorithms include map-reduce and aggregation pipeline.
MongoDB also uses algorithms for query optimizati
I applied via Walk-in and was interviewed before Feb 2021. There were 4 interview rounds.
I applied via Referral and was interviewed in Jul 2020. There were 3 interview rounds.
I applied via Job Portal and was interviewed before Sep 2020. There were 3 interview rounds.
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