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I applied via Campus Placement and was interviewed before Jan 2024. There were 2 interview rounds.
I was asked to modify the project code to evaluate my skills and knowledge.
Data science is a field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
Data science involves collecting, analyzing, and interpreting large amounts of data to solve complex problems.
It combines statistics, machine learning, and domain knowledge to uncover patterns and make predictions.
Examples include predicting customer behavior based on pas...
Machine learning is a subset of artificial intelligence that involves training algorithms to learn patterns from data.
Machine learning is a subset of artificial intelligence.
It involves training algorithms to learn patterns from data.
Examples include image recognition, natural language processing, and recommendation systems.
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I applied via Naukri.com and was interviewed in Nov 2020. There were 3 interview rounds.
I applied via Walk-in and was interviewed in Nov 2020. There were 3 interview rounds.
The process for manual extraction involves identifying the data source, selecting relevant data, and recording it manually.
Identify the data source
Select relevant data
Record data manually
Ensure accuracy and completeness
Verify data with source if necessary
My speed of coding documents is around 60-70 words per minute.
I use typing software to improve my speed.
I prioritize accuracy over speed.
I proofread my work to ensure quality.
I am constantly looking for ways to improve my speed and efficiency.
My last salary was competitive and reflected my skills and experience in data analysis, contributing to successful projects.
My last salary was $70,000 annually, which was in line with industry standards for my experience level.
I received a 10% raise after completing a major project that improved data processing efficiency by 30%.
In my previous role, I was also eligible for performance bonuses, which added to my overall...
I applied via Recruitment Consulltant and was interviewed in Oct 2022. There were 2 interview rounds.
I applied via LinkedIn and was interviewed before May 2023. There was 1 interview round.
I am a detail-oriented analyst with a passion for data-driven decision-making and a strong background in statistical analysis.
I have a degree in Statistics, which has equipped me with strong analytical skills.
In my previous role, I improved reporting efficiency by 30% through automation.
I enjoy working with large datasets and have experience using tools like SQL and Python.
I recently completed a project analyzing custo...
At my last company, I analyzed data trends to drive strategic decisions and improve operational efficiency.
Conducted data analysis using SQL and Excel to identify key performance indicators.
Collaborated with cross-functional teams to streamline reporting processes, reducing report generation time by 30%.
Presented findings to senior management, leading to the implementation of a new marketing strategy that increased cus...
My last salary was reflective of my experience and the industry standards, ensuring fair compensation for my skills and contributions.
My last salary was $70,000 annually, which was competitive for my role as a data analyst.
I received a performance bonus of 10% based on my contributions to key projects.
In my previous role, I negotiated my salary based on market research and my unique skill set.
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