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posted on 20 Aug 2024
I applied via Approached by Company and was interviewed in Jul 2024. There were 2 interview rounds.
I am a data scientist and machine learning engineer with experience in developing predictive models for various industries.
Developed a predictive maintenance model for a manufacturing company to reduce downtime and maintenance costs.
Built a recommendation system for an e-commerce platform to personalize product recommendations for users.
Worked on a natural language processing project to classify customer reviews for se...
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posted on 26 Feb 2024
Different scores like accuracy, precision, recall, F1 for evaluating embedding models
Common evaluation metrics for embedding models include accuracy, precision, recall, and F1 score
Accuracy measures overall correctness of the model's predictions
Precision measures the proportion of true positive predictions among all positive predictions
Recall measures the proportion of true positive predictions among all actual positiv...
Embedding models learn to represent words or entities as dense vectors in a continuous vector space.
Embedding models map words or entities to high-dimensional vectors where similar words have similar vectors.
These models are trained using neural networks to learn the relationships between words based on their context.
Popular embedding models include Word2Vec, GloVe, and FastText.
Embedding models are commonly used in na...
Precision is the ratio of correctly predicted positive observations to the total predicted positive observations, while recall is the ratio of correctly predicted positive observations to the all observations in actual class.
Precision focuses on the accuracy of positive predictions, while recall focuses on the proportion of actual positives that were correctly identified.
Precision = TP / (TP + FP), Recall = TP / (TP + ...
word2vec is a technique to create word embeddings, gensim is a Python library for topic modeling and similarity detection, tf-idf is a method to represent the importance of a word in a document.
word2vec is a neural network model that learns word embeddings by predicting the context of a word based on its surrounding words.
Gensim is a Python library for topic modeling, document similarity analysis, and other natural lan...
posted on 22 Feb 2024
I applied via Recruitment Consulltant and was interviewed before Feb 2023. There were 3 interview rounds.
Quantiphi Analytics Solutions Private Limited interview questions for designations
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I have the necessary skills, experience, and passion to contribute to the company's growth and success.
I have a proven track record of achieving targets and delivering results.
I possess excellent communication and interpersonal skills, which enable me to work effectively with colleagues and clients.
I am a quick learner and can adapt to new technologies and processes easily.
I am passionate about my work and always striv...
I have the necessary skills, experience, and passion to contribute to the company's growth and success.
I have relevant experience in the industry
I possess the required skills and knowledge for the job
I am a quick learner and can adapt to new situations easily
I am passionate about the company's mission and values
I am a team player and can work collaboratively with others
posted on 5 May 2017
I was interviewed in Aug 2016.
I am a business analyst with experience in data analysis and project management.
I have a degree in business administration
I have worked with various industries including healthcare and finance
I am skilled in data visualization and reporting
I have experience in leading cross-functional teams
I am proficient in SQL and Excel
My area of interest is data analysis and visualization.
I enjoy working with large datasets and finding insights through data analysis.
I have experience using tools such as Excel, Tableau, and Python for data analysis and visualization.
I am interested in exploring new data sources and learning new techniques for data analysis.
For example, I recently worked on a project analyzing customer behavior data for a retail compa...
Yes, I have experience in data analysis and visualization through Excel and Tableau.
I have worked on multiple projects where I had to analyze and visualize data using Excel and Tableau.
I have created dashboards and reports to present data insights to stakeholders.
I have also used statistical analysis to identify trends and patterns in data.
I am currently learning Python and SQL to further enhance my data analysis skill
I am interested in the stability and growth opportunities offered by an established company.
I value the stability and resources of an established company
I am interested in the opportunity to work with a diverse range of clients and industries
I believe my skills and experience are better suited to a larger organization
I am open to exploring start-up opportunities in the future
Yes, I am planning to pursue a Master's degree in Business Administration.
I have researched various MBA programs and have shortlisted a few that align with my career goals.
I plan to take the GMAT exam and apply to these programs in the next year.
I believe that a higher education degree will equip me with advanced skills and knowledge to excel in my role as a Business Analyst.
The size of racks of rice in a store can vary depending on the store's location, size, and target market.
The size of the store can determine the size of the racks
The target market can determine the quantity of rice sold and therefore the size of the racks
The location of the store can determine the size of the racks based on the available space
The type of rice sold can also determine the size of the racks
Observation of ...
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