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The Akanksha Foundation Interview Questions and Answers

Updated 9 Apr 2024

The Akanksha Foundation Interview Experiences

2 interviews found

Volunteer In Akanksha Foundation Interview Questions & Answers

user image naaziya maruf

posted on 22 Apr 2022

I applied via Recruitment Consulltant and was interviewed in Mar 2022. There was 1 interview round.

Round 1 - HR 

(3 Questions)

  • Q1. Introduction question
  • Q2. Pare work kn which company
  • Q3. What is your qualification

Interview Preparation Tips

Topics to prepare for The Akanksha Foundation Volunteer In Akanksha Foundation interview:
  • Maths
Interview preparation tips for other job seekers - Go to indeed and search the jobs
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Indeed and was interviewed in Mar 2024. There was 1 interview round.

Round 1 - HR 

(4 Questions)

  • Q1. Introduce yourself.
  • Q2. In which subjects are you intrested?
  • Ans. 

    I am interested in subjects such as mathematics, physics, and computer science.

    • Mathematics

    • Physics

    • Computer Science

  • Answered by AI
  • Q3. Preferred location?
  • Q4. Can you please solve the test?

Maths Teacher Interview Questions asked at other Companies

Q1. An orchard produces 550 kg of mangoes par year. out of which 43 kg is damege. what is the probability that the next product will not be dameged
View answer (2)

Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
-
Process Duration
Less than 2 weeks
Result
Not Selected

I was interviewed in Jan 2025.

Round 1 - HR 

(2 Questions)

  • Q1. Sharing your experience
  • Q2. Question regarding academic hiring

Interview Preparation Tips

Interview preparation tips for other job seekers - I was called by the HR department (Arjun Parashar). Without any JD shared by him he called me to the university for an interview with the VP & HR HEAD. After reaching the university i met Arjun & was told to wait for few minutes in a cabin. After that Mr. Vivek who was the Senior HR manager came & welcomed me asked me if i need anything. Then he started the interview & after that he told me you can leave for the day, we will get back to you. Since after that i have been following up with Arjun who did not even replies to me. After 8 days he shared this message " Hi, thank you for the time & availability, but we regret to inform you that your candidature was not shortlisted further as we are looking for a person who has more experience in university hiring." Rejection is alright. but calling someone for a face-to-face meeting cost a day leave & 80 km driving. When i ask him that " from my Cv you knew my experience then why did you called me for the face-to-face interview then? As Arjun having more than 14 years of experience as a HR & 8 years for experience in Bennett University, he responded in the best way that was ghosting me & not replying on the messages.
Please don't go for an interview without getting any JD for such HR managers. Push for an online interview only because they don't value the time & cost given by the candidate coming for a face-to-face interview. This was my experience as an HR having 7 years of experience in Education industry. Bennett University has made an impression that will last forever.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Mar 2024. There was 1 interview round.

Round 1 - Technical 

(13 Questions)

  • Q1. How do you train semi supervised machine learning models?
  • Ans. 

    Train semi supervised machine learning models by using a combination of labeled and unlabeled data.

    • Start by training a model on a small amount of labeled data

    • Use the trained model to make predictions on the unlabeled data

    • Incorporate the predictions into the training set and retrain the model

    • Repeat the process until the model reaches a satisfactory level of performance

  • Answered by AI
  • Q2. What are the parametric types of machine learning?
  • Ans. 

    Parametric types of machine learning are algorithms that make assumptions about the functional form of the relationship between inputs and outputs.

    • Parametric models have a fixed number of parameters that are learned from the training data.

    • Examples include linear regression, logistic regression, and linear SVM.

    • They are often simpler and faster to train compared to non-parametric models.

    • Parametric models are suitable for...

  • Answered by AI
  • Q3. What are the types of Machine Learning?
  • Ans. 

    Types of Machine Learning include supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and self-supervised learning.

    • Supervised Learning: The model is trained on labeled data.

    • Unsupervised Learning: The model is trained on unlabeled data.

    • Semi-Supervised Learning: A combination of labeled and unlabeled data is used for training.

    • Reinforcement Learning: The model learns through trial...

  • Answered by AI
  • Q4. Explain Eigen value
  • Ans. 

    Eigen value is a scalar associated with a square matrix that represents how a transformation stretches or compresses space along its eigenvectors.

    • Eigen values are solutions to the characteristic equation det(A - λI) = 0, where A is the matrix, λ is the eigen value, and I is the identity matrix.

    • They represent the factor by which the eigenvector is scaled during the transformation.

    • Eigen values can be real or complex numb...

  • Answered by AI
  • Q5. What is Eigen Vector
  • Ans. 

    Eigen vector is a vector that does not change its direction when a linear transformation is applied to it.

    • Eigen vectors are used in linear algebra to understand the behavior of linear transformations.

    • They represent directions along which a linear transformation has a simple effect, such as scaling.

    • Eigen vectors are associated with eigenvalues, which represent the scaling factor of the eigenvector.

    • For example, in a 2x2 ...

  • Answered by AI
  • Q6. What is the maths behind PCA
  • Ans. 

    PCA is a mathematical technique used for dimensionality reduction by finding the principal components of a dataset.

    • PCA involves calculating the eigenvectors and eigenvalues of the covariance matrix of the data.

    • The eigenvectors represent the directions of maximum variance in the data, while the eigenvalues indicate the amount of variance along each eigenvector.

    • The principal components are the eigenvectors corresponding ...

  • Answered by AI
  • Q7. If you are given a small dataset of 300 samples, what would you choose over a neural network with more number of hidden layers or a neural network with one hidden layer. Justify your explanation in terms o...
  • Ans. 

    For a small dataset of 300 samples, a neural network with one hidden layer would be more suitable for better accuracy.

    • A neural network with one hidden layer is simpler and less prone to overfitting on a small dataset.

    • With a small dataset, a complex neural network with more hidden layers may lead to overfitting and poor generalization.

    • A neural network with one hidden layer can capture the basic patterns in the data effe...

  • Answered by AI
  • Q8. Can a neural network accept complex number as input?
  • Ans. 

    Yes, a neural network can accept complex numbers as input.

    • Neural networks can be designed to accept complex numbers as input by using complex-valued weights and activations.

    • Complex-valued neural networks have been used in applications such as signal processing and image recognition.

    • Complex numbers can represent both magnitude and phase information, making them useful for certain types of data.

    • Complex-valued neural netw...

  • Answered by AI
  • Q9. What is kmeans algorithm, Explain it?
  • Ans. 

    kmeans algorithm is a clustering algorithm that partitions data into k clusters based on similarity.

    • Divides data points into k clusters based on distance from centroid

    • Iteratively assigns data points to nearest centroid and updates centroids

    • Converges when centroids no longer change significantly

    • Commonly used in machine learning for clustering data points

  • Answered by AI
  • Q10. What are the evaluation metrics?
  • Ans. 

    Evaluation metrics are used to measure the performance or effectiveness of a system, project, or process.

    • Evaluation metrics can include quantitative measures such as accuracy, precision, recall, F1 score, and AUC-ROC.

    • They can also include qualitative measures such as user satisfaction, usability, and user engagement.

    • Evaluation metrics help in assessing the success of a project or system and identifying areas for improv...

  • Answered by AI
  • Q11. Machine learning vs Deep Learning
  • Ans. 

    Machine learning is a subset of artificial intelligence that focuses on developing algorithms to make predictions based on data, while deep learning is a subset of machine learning that uses neural networks to learn from large amounts of data.

    • Machine learning involves developing algorithms that can learn from and make predictions or decisions based on data.

    • Deep learning is a subset of machine learning that uses neural ...

  • Answered by AI
  • Q12. How do you select k value in kmeans algorithm?
  • Ans. 

    Selecting k value in kmeans algorithm involves using techniques like elbow method and silhouette score.

    • Use the elbow method to find the point where the rate of decrease sharply shifts, indicating the optimal k value.

    • Calculate silhouette score for different k values and choose the one with the highest score.

    • Consider domain knowledge and the specific problem requirements when selecting k value.

    • Experiment with different k...

  • Answered by AI
  • Q13. How do you calculate precision & recall for n x n confusion matrix?
  • Ans. 

    Precision and recall can be calculated using values from a confusion matrix.

    • Precision = TP / (TP + FP)

    • Recall = TP / (TP + FN)

    • Where TP = True Positive, FP = False Positive, FN = False Negative

    • For an n x n confusion matrix, sum the values in each row and column to get TP, FP, and FN for each class

  • Answered by AI

Interview Preparation Tips

Topics to prepare for IIT Guwahati Junior Research Fellow interview:
  • Based on the project

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Fair and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - HR 

(2 Questions)

  • Q1. Why do you want to join this industry?
  • Ans. 

    I am passionate about designing innovative solutions and contributing to the advancement of technology in the mechanical engineering industry.

    • Passion for designing and creating innovative solutions

    • Interest in contributing to technological advancements

    • Excitement for the challenges and opportunities in the industry

  • Answered by AI
  • Q2. What is the career growth potential in this field?
  • Ans. 

    Career growth potential in the field of Mechanical Engineering is high due to continuous technological advancements and demand for skilled professionals.

    • Opportunities for advancement into management roles such as project manager or engineering manager

    • Specialization in areas such as robotics, aerospace, or renewable energy can lead to higher paying positions

    • Further education such as obtaining a master's degree or PhD ca...

  • Answered by AI
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Feb 2024. There was 1 interview round.

Round 1 - One-on-one 

(7 Questions)

  • Q1. What is the genome size of Chickpea?
  • Ans. 

    The genome size of Chickpea is approximately 738 megabases.

    • The genome size of Chickpea is estimated to be around 738 megabases.

    • Chickpea (Cicer arietinum) is a diploid plant species with 2n=16 chromosomes.

    • Genome sequencing of Chickpea has provided valuable insights into its genetic makeup and potential for crop improvement.

  • Answered by AI
  • Q2. What is Genomic Assisted Breeding?
  • Ans. 

    Genomic Assisted Breeding is a breeding approach that uses genetic information to improve the efficiency and accuracy of breeding programs.

    • Utilizes genetic markers to identify desirable traits in plants or animals

    • Helps breeders select individuals with desired traits for breeding

    • Accelerates the breeding process by predicting offspring performance based on genetic information

    • Examples include using DNA markers to select f

  • Answered by AI
  • Q3. Tell us about Marker Assisted Breeding.
  • Ans. 

    Marker Assisted Breeding is a technique used in plant breeding to select for desired traits based on genetic markers.

    • Marker Assisted Breeding involves identifying genetic markers linked to specific traits of interest.

    • These markers can be used to select plants with desired traits at an early stage of development.

    • This technique helps in accelerating the breeding process by reducing the time and resources required for tra...

  • Answered by AI
  • Q4. Do you know about any data analysis software?
  • Ans. 

    Yes, I am familiar with data analysis software such as Microsoft Excel, SPSS, and Tableau.

    • Microsoft Excel is commonly used for data analysis and visualization

    • SPSS is a statistical software used for analyzing data

    • Tableau is a data visualization tool that helps in creating interactive dashboards

  • Answered by AI
  • Q5. Do you have any skills in hydroponics?
  • Ans. 

    Yes, I have experience in hydroponics including setting up systems, monitoring plant growth, and adjusting nutrient levels.

    • Experience in setting up hydroponic systems

    • Monitoring plant growth in hydroponic environments

    • Adjusting nutrient levels for optimal plant growth

    • Knowledge of different types of hydroponic systems such as NFT, DWC, and drip systems

  • Answered by AI
  • Q6. Explain field practices of Chickpea.
  • Ans. 

    Chickpea field practices involve proper soil preparation, planting, irrigation, pest control, and harvesting.

    • Soil preparation includes plowing, harrowing, and adding organic matter.

    • Planting is typically done in rows with proper spacing between seeds.

    • Irrigation is crucial, especially during flowering and pod development stages.

    • Pest control may involve using natural predators or pesticides as needed.

    • Harvesting is done wh...

  • Answered by AI
  • Q7. Tell us about Morphology and anatomy of Chickpea plant
  • Ans. 

    Chickpea plant has a distinct morphology and anatomy, with compound leaves and distinctive flowers.

    • Chickpea plants have compound leaves with 3 leaflets.

    • The plant produces white or pink flowers with blue, violet, or pink veins.

    • Chickpea pods contain 1-2 seeds, which are the edible part of the plant.

    • The roots of the chickpea plant have nodules that contain nitrogen-fixing bacteria.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn about the project, crop and institution you apply for.
Know about the recent advances in the respective field.
Never hesitate to admit your mistakes.
Be polite, well dressed, accessible and punctual during the interview.
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via campus placement at Chhatrapati Shahu Ji Maharaj University (CSJMU) and was interviewed before Dec 2023. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. What will you do if the patient's BP is low during dialysis
  • Q2. Emergency drugs use during dialysis
  • Q3. How many type of access use for dialysis
Round 2 - Technical 

(2 Questions)

  • Q1. What is important of RO in dialysis
  • Q2. How many alarms are there in a dialysis machine
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. How do you align yourself with this intership

Interview Preparation Tips

Interview preparation tips for other job seekers - it s easy . just focus on your basic.
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. How sallary pay for previous university
  • Ans. 

    The salary pay for previous university is not available.

    • Salary pay for previous university is not disclosed.

    • I don't have access to the salary information of previous university.

    • Unfortunately, I cannot provide the salary pay for previous university.

  • Answered by AI
Round 2 - Assignment 

Vitals assignment on bsc nursing

Interview Preparation Tips

Interview preparation tips for other job seekers - NIMS University is of absolutely no standard, no salary on time basis and really very bad university in Rajasthan.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Sep 2023. There was 1 interview round.

Round 1 - HR 

(1 Question)

  • Q1. Introduction, skills, strength, weakness,why u join our organisation,role of the profile etc

Interview Preparation Tips

Interview preparation tips for other job seekers - Don't worry if you are interested and go with the interview it's very comfortable and easy

The Akanksha Foundation Interview FAQs

How many rounds are there in The Akanksha Foundation interview?
The Akanksha Foundation interview process usually has 1 rounds. The most common rounds in the The Akanksha Foundation interview process are HR.
How to prepare for The Akanksha Foundation interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at The Akanksha Foundation. The most common topics and skills that interviewers at The Akanksha Foundation expect are Teaching, Training, Education, Networking and Recruitment.
What are the top questions asked in The Akanksha Foundation interview?

Some of the top questions asked at the The Akanksha Foundation interview -

  1. In which subjects are you intrest...read more
  2. Pare work kn which comp...read more
  3. Can you please solve the te...read more

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The Akanksha Foundation Interview Process

based on 7 interviews

Interview experience

4
  
Good
View more

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3.6/5

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3.5

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3.2

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