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I applied via LinkedIn and was interviewed before Aug 2023. There were 3 interview rounds.
I am a highly experienced MIS Executive with a strong background in data analysis and reporting.
Over 5 years of experience in managing and analyzing data for decision-making purposes
Proficient in using various MIS tools and software such as Excel, SQL, and Tableau
Successfully implemented automated reporting systems to improve efficiency and accuracy
Strong communication skills to effectively collaborate with cross-funct...
Current CTC is INR 8 LPA and expected CTC is INR 10 LPA.
Current CTC: INR 8 LPA
Expected CTC: INR 10 LPA
Key responsibilities include managing databases, analyzing data, generating reports, troubleshooting IT issues, and ensuring data security.
Managing databases to ensure data accuracy and availability
Analyzing data to identify trends and make recommendations
Generating reports for management to make informed decisions
Troubleshooting IT issues related to data systems
Ensuring data security measures are in place to protect s
I conducted an analysis on customer purchasing behavior to identify trends and preferences.
Collected and analyzed data on customer transactions and product preferences
Identified patterns in customer behavior to improve targeted marketing strategies
Generated reports and recommendations based on analysis findings
Total 40 questions were there on different topics?
I applied via Walk-in and was interviewed in Jan 2022. There were 2 interview rounds.
posted on 10 Jun 2022
I applied via Approached by Company and was interviewed in Sep 2021. There were 3 interview rounds.
I applied via Approached by Company and was interviewed in Jul 2023. There were 3 interview rounds.
I applied via Recruitment Consulltant and was interviewed before Jul 2023. There was 1 interview round.
I worked as a Sales Manager in charge of leading a team, developing sales strategies, and meeting sales targets.
Led a team of sales representatives to achieve sales goals
Developed and implemented sales strategies to increase revenue
Analyzed market trends and competitor activities to identify opportunities
Maintained relationships with key clients and negotiated contracts
Prepared sales reports and presented to senior man
Strengths include strong communication and negotiation skills. Weakness is sometimes being too detail-oriented. Salary expectations are competitive based on experience.
Strengths: strong communication skills, negotiation skills
Weakness: detail-oriented
Salary expectations: competitive based on experience
I have 5 years of experience in sales with a Bachelor's degree in Business Administration.
5 years of sales experience
Bachelor's degree in Business Administration
Strong track record of meeting and exceeding sales targets
Experience in developing and maintaining client relationships
Proficient in sales techniques and strategies
I applied via Recruitment Consulltant and was interviewed in Dec 2023. There were 2 interview rounds.
General knowledge test about field
I applied via Campus Placement
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
Logistic regression is a type of regression analysis used when the dependent variable is categorical or binary.
It estimates the probability of the outcome using a logistic function.
The model calculates the odds of the outcome and transforms them into probabilities.
It uses a logit link ...
I applied via Recruitment Consulltant and was interviewed in Nov 2022. There were 2 interview rounds.
Spring Boot is a framework that simplifies the development of Java applications by providing pre-configured settings and dependencies.
Spring Boot uses an embedded Tomcat server to run the application.
It provides auto-configuration for commonly used libraries and frameworks.
Spring Boot uses Spring Framework's Inversion of Control (IoC) to manage dependencies.
It also includes Spring Boot Actuator for monitoring and manag...
Streaming API in Java 8 is a feature that allows processing of large data sets in a functional and efficient manner.
Stream API provides a set of functional interfaces and methods to process data in a declarative way
It supports parallel processing of data
It can be used with collections, arrays, and I/O operations
Example: List
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