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I applied via Recruitment Consulltant and was interviewed before Jul 2021. There were 2 interview rounds.
I applied via AmbitionBox and was interviewed in Nov 2022. There were 2 interview rounds.
I appeared for an interview in Jan 2025.
In my previous role, I was responsible for analyzing data, creating reports, and providing insights to support decision-making.
Performed data cleaning, transformation, and analysis using tools like Excel, SQL, and Python.
Generated reports and dashboards to visualize data trends and patterns.
Collaborated with cross-functional teams to identify key metrics and KPIs for business performance.
Presented findings and recommen...
I was responsible for data cleaning, transformation, and visualization to create interactive dashboards for stakeholders.
Performed data cleaning and transformation to ensure accuracy and consistency of data
Utilized tools like SQL, Python, and Tableau to manipulate and visualize data
Collaborated with stakeholders to understand their requirements and design interactive dashboards
Generated insights from data analysis to d
I optimize and manage large datasets by using tools like SQL, Python, and Excel. I utilize various data sources such as databases, APIs, and web scraping.
Utilize SQL queries to efficiently extract and manipulate data from databases
Use Python for data cleaning, analysis, and visualization tasks
Leverage Excel for organizing and summarizing data in a user-friendly format
Obtain data from sources like internal databases, ex
There are approximately 500-600 traffic signals in Noida.
Estimate based on the size and population of Noida
Consider the number of major intersections and roads in the city
Take into account the traffic density and need for traffic management
Consult local traffic authorities for more accurate data
Joins are used to combine rows from two or more tables based on a related column between them.
Inner Join: Returns rows when there is a match in both tables.
Left Join: Returns all rows from the left table and the matched rows from the right table.
Right Join: Returns all rows from the right table and the matched rows from the left table.
Full Outer Join: Returns rows when there is a match in one of the tables.
Cross Join:
Writing SQL queries in Python allows for seamless integration of data analysis and manipulation.
Use libraries like pandas or sqlalchemy to execute SQL queries in Python
Remember to establish a connection to the database before executing queries
Utilize Python's flexibility to manipulate and analyze data retrieved from SQL queries
I applied via Campus Placement and was interviewed before Oct 2023. There were 2 interview rounds.
Easy Aptitude and SQL questions
based on 1 interview
Interview experience
based on 6 reviews
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