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Exponentia.ai
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I applied via Campus Placement and was interviewed in Aug 2023. There was 1 interview round.
My data migration experience will help in bringing revenue by ensuring smooth transitions, minimizing downtime, and maximizing data accuracy.
Ensuring seamless transition of customer data to our platform, reducing customer churn and increasing retention rates
Minimizing downtime during data migration, leading to increased customer satisfaction and loyalty
Maximizing data accuracy during migration, improving overall custom
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I applied via Naukri.com and was interviewed in Jul 2023. There were 4 interview rounds.
I was interviewed before May 2023.
Functional, case study, guesstimates, problem solving
I applied via Naukri.com and was interviewed in May 2024. There were 3 interview rounds.
Precision and recall are metrics used in classification tasks to evaluate the performance of a model.
Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.
Recall is the ratio of correctly predicted positive observations to the all observations in actual class.
Precision is about how many of the actual positive cases were correctly predicted as positive.
Recall is...
PEFT stands for Physical Education, Fine Arts, Technology. QLORA is a software platform for managing and analyzing data.
PEFT is an acronym for Physical Education, Fine Arts, Technology, representing different areas of study or activities in education.
QLORA is a software platform used for managing and analyzing data, often used in research or business settings.
PEFT can be implemented in schools to ensure a well-rounded ...
Random forest is an ensemble learning method that builds multiple decision trees and merges their predictions to improve accuracy.
Random forest creates multiple decision trees during training.
Each tree is built using a random subset of features and data points.
The final prediction is made by averaging the predictions of all trees (regression) or taking a majority vote (classification).
I applied via Referral and was interviewed before Jul 2023. There were 3 interview rounds.
Guestimate was asked in the casestudy interview
Business casestudy on some retail industry
posted on 2 Sep 2024
I applied via Recruitment Consulltant and was interviewed in Mar 2024. There were 4 interview rounds.
SCM stands for Supply Chain Management, which involves the planning, coordination, and execution of all activities involved in sourcing, procurement, production, and logistics.
SCM involves the management of the flow of goods and services from the point of origin to the point of consumption.
It includes activities such as inventory management, demand forecasting, supplier relationship management, and distribution.
Effecti...
In this round, we have to answer a case study within two days and present are findings to the panel
I applied via Approached by Company and was interviewed in Nov 2024. There were 4 interview rounds.
Main pillars of Project management include scope, time, cost, quality, communication, risk, and procurement.
Scope management involves defining and controlling what is included in the project.
Time management focuses on creating and maintaining a project schedule.
Cost management involves budgeting and controlling project costs.
Quality management ensures that the project meets the required standards.
Communication manageme...
I have 5 years of project management experience, including leading a team to successfully complete a software development project.
Managed cross-functional teams to ensure project milestones were met
Identified and resolved conflicts within the team to maintain productivity
Implemented Agile methodologies to improve project efficiency
Communicated project updates to stakeholders regularly
Managed project budget and resource
I dont remember clearly
Asked about problem solving. General hygiene questions like why this company?
Long term and short term questions?
Checked structured thinking?
Case study on building a company
I applied via Job Portal and was interviewed in Mar 2024. There were 3 interview rounds.
Spark cluster sizing depends on workload, data size, memory requirements, and processing speed.
Consider the size of the data being processed
Take into account the memory requirements of the Spark jobs
Factor in the processing speed needed for the workload
Scale the cluster based on the number of nodes and cores required
Monitor performance and adjust cluster size as needed
Implement a pipeline based on given conditions and data requirement
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Data Engineer
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Senior Associate
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Software Engineer
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