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Achieving daily targets in retail requires strategic planning, team motivation, and effective sales techniques.
Set clear, achievable daily sales targets based on historical data and trends.
Motivate the team with incentives for meeting or exceeding targets, such as bonuses or recognition.
Utilize upselling and cross-selling techniques to increase average transaction value.
Monitor daily sales performance and adjust s...
Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.
Uses labeled training data to learn the mapping between input and output variables
The model is trained on a dataset where the correct output is known
Examples include classification and regression tasks
Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization on new, unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
Example: A decision tree with too many branches that perfectly fits the train...
Broadcast join is used when one of the tables is small enough to fit in memory of all the nodes in the cluster, reducing shuffle and improving performance.
Broadcast join is used to optimize join operations by broadcasting the smaller table to all nodes in the cluster.
It is beneficial when one of the tables is small enough to fit in memory of all nodes, reducing the need for shuffling data across the network.
Broadc...
I prioritize the roadmap based on strategic goals, stakeholder needs, resource availability, and potential impact.
Align roadmap with strategic goals and objectives
Consider stakeholder needs and feedback
Evaluate resource availability and constraints
Prioritize initiatives based on potential impact and ROI
Regularly review and adjust roadmap based on changing priorities
My daily store activity involves creating visually appealing displays, setting up promotional materials, and ensuring the store layout is optimized for sales.
Creating visually appealing displays
Setting up promotional materials
Optimizing store layout for sales
Boost means to increase or improve something.
Boost refers to enhancing or raising the level of something.
It can be used to describe increasing sales, productivity, or performance.
Boost can also mean to uplift or energize someone's mood or confidence.
Examples: Boosting sales by implementing effective marketing strategies, boosting employee morale through team-building activities.
I have experience in handling a team of experienced staff members.
I have successfully managed a team of experienced sales associates in my previous role as a Sales Manager.
I have trained and mentored experienced staff members to improve their sales skills and achieve targets.
I have implemented effective strategies to motivate and retain experienced staff members.
I have conducted performance evaluations and provide...
Driving sales in retail involves analyzing data, setting targets, training staff, and implementing effective marketing strategies.
Analyze sales data to identify trends and opportunities for growth
Set sales targets for individual staff members and the store as a whole
Train staff on effective sales techniques and customer service
Implement marketing strategies such as promotions, events, and advertising to attract cu...
The purpose of creating this app is to streamline the job application process and make it more efficient for both applicants and recruiters.
To simplify the job application process for both applicants and recruiters
To provide a user-friendly platform for job seekers to search and apply for jobs
To allow recruiters to easily manage job postings and review applications
To improve communication between applicants and re...
I appeared for an interview before Jul 2024, where I was asked the following questions.
I appeared for an interview before Jul 2024, where I was asked the following questions.
Dynamic retail professional with extensive experience in team leadership and customer service, eager to drive store success as Assistant Store Manager.
Over 5 years of experience in retail management, leading teams to exceed sales targets.
Strong background in customer service, having implemented strategies that improved customer satisfaction scores by 20%.
Proficient in inventory management, successfully reducing stock d...
Understanding KPIs is crucial for driving store performance and achieving sales targets effectively.
KPIs (Key Performance Indicators) help measure store performance, such as sales per square foot.
Customer satisfaction scores can indicate service quality; for example, a score above 90% is ideal.
Inventory turnover ratio shows how quickly stock is sold; a higher ratio indicates efficient inventory management.
Employee prod...
I appeared for an interview in Oct 2024.
Achieving daily targets in retail requires strategic planning, team motivation, and effective sales techniques.
Set clear, achievable daily sales targets based on historical data and trends.
Motivate the team with incentives for meeting or exceeding targets, such as bonuses or recognition.
Utilize upselling and cross-selling techniques to increase average transaction value.
Monitor daily sales performance and adjust strate...
I applied via Company Website and was interviewed in Dec 2024. There were 2 interview rounds.
Eid aka zbtirxjtiteftu ota g nl
My name is John Smith.
Full name is John Smith
Common name in English-speaking countries
Easy to remember and pronounce
I appeared for an interview in Apr 2025, where I was asked the following questions.
I applied via Referral and was interviewed in Sep 2024. There were 2 interview rounds.
Case study is shared two days before the interview process
Spark optimization techniques improve performance and efficiency of data processing.
Partitioning data to distribute workload evenly
Caching frequently accessed data to avoid recomputation
Using appropriate data formats like Parquet for efficient storage and retrieval
Optimizing shuffle operations by tuning parameters like shuffle partitions
Avoiding unnecessary data shuffling by using broadcast joins
Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.
Uses labeled training data to learn the mapping between input and output variables
The model is trained on a dataset where the correct output is known
Examples include classification and regression tasks
Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization on new, unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
Example: A decision tree with too many branches that perfectly fits the training d...
Optimizations in Databricks involve tuning cluster configurations, optimizing code, and utilizing caching.
Tune cluster configurations to allocate resources efficiently
Optimize code by using efficient algorithms and data structures
Utilize caching to store intermediate results and avoid recomputation
Broadcast join is used when one of the tables is small enough to fit in memory of all the nodes in the cluster, reducing shuffle and improving performance.
Broadcast join is used to optimize join operations by broadcasting the smaller table to all nodes in the cluster.
It is beneficial when one of the tables is small enough to fit in memory of all nodes, reducing the need for shuffling data across the network.
Broadcast j...
I applied via Job Fair
Group discussion is a team work
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The duration of Adidas interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 82 interview experiences
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Duration
based on 653 reviews
Rating in categories
Store Manager
223
salaries
| ₹3.6 L/yr - ₹8.5 L/yr |
Assistant Manager
119
salaries
| ₹9.7 L/yr - ₹18 L/yr |
Retail Associate
119
salaries
| ₹2.5 L/yr - ₹7 L/yr |
Software Engineer
117
salaries
| ₹22 L/yr - ₹39.4 L/yr |
Software Developer
108
salaries
| ₹13.2 L/yr - ₹21.5 L/yr |
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