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posted on 10 Dec 2024
I applied via Company Website and was interviewed in Nov 2024. There was 1 interview round.
I am a data analyst with a background in statistics and programming, passionate about turning data into actionable insights.
Background in statistics and programming
Experience in data analysis and visualization tools like Python, R, and Tableau
Strong problem-solving and critical thinking skills
Ability to communicate complex data findings to non-technical stakeholders
My career goal is to become a senior data analyst in a reputable company, where I can utilize my skills to drive data-driven decision-making and contribute to the organization's success.
Advance to a senior data analyst role
Contribute to data-driven decision-making
Work for a reputable company
Continuous learning and skill development
Strength: Strong analytical skills, Weakness: Overthinking
Strength: Ability to analyze complex data sets and derive meaningful insights
Strength: Proficiency in data visualization tools like Tableau and Power BI
Weakness: Tendency to overthink and spend too much time on minor details
Weakness: Struggle with delegating tasks and trusting others to complete them
I was interviewed in Feb 2025.
Data analysis , SQL, python, ML
Excellent performance
I applied via LinkedIn and was interviewed before Oct 2023. There was 1 interview round.
I applied via LinkedIn and was interviewed before May 2021. There were 4 interview rounds.
The aptitude test is pretty basic and logical
posted on 5 May 2022
I applied via LinkedIn and was interviewed in Nov 2021. There were 3 interview rounds.
Be confident
I applied via Campus Placement and was interviewed before May 2023. There were 2 interview rounds.
Medium to hard level questions were asked and that mostly covers basics of DSA
There were easy to moderate difficulty level questions
My resume showcases my experience in data engineering, including projects involving ETL processes, data modeling, and database management.
Experience with ETL processes, including extracting data from various sources, transforming it, and loading it into a data warehouse
Proficiency in data modeling techniques to design efficient database structures
Strong skills in database management, including SQL queries, performance ...
Yes, cloud computing refers to the delivery of computing services over the internet.
Cloud computing allows for on-demand access to a shared pool of resources, such as servers, storage, and applications.
Examples of cloud services include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
Cloud computing offers scalability, flexibility, and cost-efficiency for businesses and individuals.
Common cloud de...
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