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HighRadius
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I applied via Campus Placement and was interviewed before Apr 2022. There were 2 interview rounds.
I applied via Referral and was interviewed before Oct 2023. There were 2 interview rounds.
Movie Review App that uses a public API to fetch the movie details and present it in the UI.
Reversing the Linked list
Basic aptitude questions
Level 1 coding it's has Java or c questions
All topics in aptitude
Frequently asked coding questions
DSA concepts in Java involve data structures and algorithms implementation in Java programming language.
Data structures like arrays, linked lists, stacks, queues, trees, graphs are implemented in Java.
Algorithms like sorting, searching, dynamic programming, recursion are implemented in Java.
Java provides built-in classes like ArrayList, LinkedList, HashMap for implementing DSA concepts.
Oops and DSA concepts in Java involve understanding object-oriented programming principles and data structures/algorithms.
Oops concepts in Java include inheritance, polymorphism, encapsulation, and abstraction.
Data Structures and Algorithms (DSA) concepts in Java involve understanding different data structures like arrays, linked lists, trees, and algorithms like sorting and searching.
Understanding Oops concepts helps ...
Numerical, Puzzle solving, Analytical skills, Problem solving
Code challenge, refer leet code, hackkerank
I applied via LinkedIn and was interviewed in Aug 2024. There were 2 interview rounds.
Normal deign questions
DBMS is a software system that manages databases, while FS is a system that manages files and directories.
DBMS stores data in structured format with relationships between entities
FS stores data in files and directories without relationships
DBMS provides ACID properties for transactions
FS does not provide ACID properties
Examples: MySQL, Oracle for DBMS; NTFS, ext4 for FS
I applied via Referral and was interviewed in Mar 2020. There were 5 interview rounds.
Implemented data-driven strategies to increase revenue by 15% in previous company.
Developed predictive models to optimize pricing strategies
Identified key customer segments for targeted marketing campaigns
Automated data collection and analysis processes for efficiency
Collaborated with cross-functional teams to implement data-driven decisions
I applied via Referral and was interviewed in Nov 2019. There were 5 interview rounds.
Implemented a machine learning model to predict customer churn using advanced algorithms
Developed a predictive model using logistic regression, random forest, and gradient boosting
Utilized feature engineering techniques to improve model performance
Integrated the model into the company's CRM system for real-time predictions
I applied via Referral and was interviewed in May 2024. There was 1 interview round.
Guestimate question on how a new product can be launch
based on 1 interview
Interview experience
based on 1 review
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Associate Software Engineer
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Associate Consultant
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Techno Functional Consultant
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Consultant
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Associate Software Engineer 2
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