i
Sony
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
Filter interviews by
Clear (1)
I applied via LinkedIn and was interviewed before Sep 2023. There was 1 interview round.
Developed predictive models for customer churn and sales forecasting using machine learning algorithms.
Built a customer churn prediction model using logistic regression and random forest algorithms.
Implemented a time series forecasting model for sales prediction using ARIMA and LSTM neural networks.
Utilized Python libraries such as pandas, scikit-learn, and TensorFlow for data preprocessing and model building.
GANs are Generative Adversarial Networks, a type of deep learning model consisting of two neural networks - a generator and a discriminator.
GANs are used to generate new data samples that resemble a given dataset.
The generator network creates fake data samples, while the discriminator network tries to distinguish between real and fake samples.
The two networks are trained simultaneously in a competitive manner, improvin...
Yes, I have published a research paper on the topic of machine learning algorithms for predictive analytics.
Published research paper on machine learning algorithms
Focused on predictive analytics
Presented findings at a data science conference
Neural networks are a type of machine learning algorithm inspired by the human brain's neural structure.
Neural networks consist of layers of interconnected nodes (neurons) that process input data and pass it through activation functions.
They use weights to adjust the strength of connections between neurons during training.
Neural networks are capable of learning complex patterns and relationships in data, making them su...
Top trending discussions
Topic given you need to stand out
Case study given regarding marketing opportunity
I applied via Referral and was interviewed in Nov 2024. There were 3 interview rounds.
There were 4 sections and first one was quant, second one was logical, third was English and finally 3 coding questions in last section
4 codes and 5 technical questions
Multi threading is the ability of a CPU to execute multiple threads concurrently.
Allows for parallel execution of tasks, improving performance
Each thread has its own stack and runs independently
Threads can communicate and synchronize using shared memory
Examples: running multiple tasks simultaneously in a web server, processing data in parallel
Polymorphism is the ability of a single function or method to operate on different types of data.
Polymorphism allows objects of different classes to be treated as objects of a common superclass.
It enables a single interface to be used for different data types.
Examples include method overloading and method overriding in object-oriented programming.
Inner join returns only the rows that have matching values in both tables, while outer join returns all rows from both tables.
Inner join: returns rows with matching values in both tables
Outer join: returns all rows from both tables, with NULL values where there is no match
Example: Inner join - SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id
Example: Outer join - SELECT * FROM table1 LEFT OUTER JOIN table
I applied via LinkedIn and was interviewed before Jan 2024. There were 3 interview rounds.
One questions, 3 hrs time
Trees, Graphs, 3 Questions in two hours
Merge two sorted arrays into a single sorted array
Create a new array to store the merged result
Iterate through both arrays simultaneously and compare elements to add to the new array
Handle cases where one array is longer than the other
To add a node to a binary search tree (BST), compare the value of the new node with the current node and traverse left or right accordingly until a suitable spot is found.
Start at the root node
Compare the value of the new node with the current node
If the new node value is less than the current node, move to the left child node
If the new node value is greater than the current node, move to the right child node
Repeat the...
Bias is the difference between the expected value of the model's predictions and the true values. Variance is the variability of the model's predictions for different training sets.
Bias is the underfitting of the model, where it is unable to capture the complexity of the data.
Variance is the overfitting of the model, where it is too complex and captures the noise in the data.
Bias can be reduced by increasing the comple...
Sorting techniques are algorithms used to arrange data in a specific order.
Bubble Sort
Selection Sort
Insertion Sort
Merge Sort
Quick Sort
Heap Sort
Radix Sort
I applied via Campus Placement and was interviewed before Jan 2024. There were 3 interview rounds.
The easy aptitude test was well-designed.
A group discussion on a specific topic.
I applied via Campus Placement and was interviewed in May 2023. There were 4 interview rounds.
MCQ questions of C language
Dsa is usrd and it is bad
3 medium level DSA questions based on Arrays, priority queue and DP
based on 1 interview
Interview experience
Sales Executive
187
salaries
| ₹0 L/yr - ₹0 L/yr |
Area Sales Manager
80
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Software Engineer
68
salaries
| ₹0 L/yr - ₹0 L/yr |
Technical Support Engineer
56
salaries
| ₹0 L/yr - ₹0 L/yr |
Software Engineer
53
salaries
| ₹0 L/yr - ₹0 L/yr |
Samsung
LG Electronics
Panasonic Avionics Corporation
Toshiba