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I am a data scientist with a background in statistics and machine learning, passionate about solving complex problems using data-driven approaches.
Background in statistics and machine learning
Experience in solving complex problems using data-driven approaches
Passionate about leveraging data to drive insights and decision-making
Top trending discussions
posted on 29 Nov 2024
I applied via Naukri.com and was interviewed before Nov 2023. There were 4 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company.
Collected and cleaned customer data including usage patterns and demographics
Used classification algorithms like Random Forest and Logistic Regression to build the model
Evaluated model performance using metrics like accuracy, precision, and recall
Math, English, reasoning
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
LSTM is a type of RNN that addresses the vanishing gradient problem by using memory cells.
RNN stands for Recurrent Neural Network, a type of neural network that processes sequential data.
LSTM stands for Long Short-Term Memory, a type of RNN that includes memory cells to retain information over long sequences.
LSTM is designed to overcome the vanishing gradient problem, which occurs when training RNNs on long sequences.
L...
Evaluation matrices are used to assess the performance of models in data science.
Confusion matrix: used to evaluate the performance of classification models.
Precision, recall, and F1 score: measures for binary classification models.
Mean squared error (MSE): evaluates the performance of regression models.
R-squared: assesses the goodness of fit for regression models.
Area under the ROC curve (AUC-ROC): evaluates the perfo...
I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.
It assumes a linear relationship between the independent and dependent variables.
The goal of linear regression is to find the best-fitting line that minimi...
I applied via LinkedIn and was interviewed before Sep 2023. There were 2 interview rounds.
Mostly around generative ai , transformer
In the next 5 years, I see myself advancing my skills in data science, taking on more leadership roles, and contributing to impactful projects.
Continuing to enhance my knowledge in machine learning algorithms and data visualization techniques
Leading a team of data scientists on complex projects
Contributing to projects that have a positive impact on society, such as healthcare analytics or environmental sustainability
Po...
I handle tough situations by staying calm, analyzing the problem, seeking advice if needed, and taking decisive action.
Stay calm and composed
Analyze the problem thoroughly
Seek advice from colleagues or mentors
Take decisive action to address the situation
I applied via LinkedIn and was interviewed in Dec 2021. There were 3 interview rounds.
Aptitude tests measure a person's logical reasoning skills and mental ability. During an aptitude test, test-takers must answer questions designed to assess their diagrammatic reasoning, mechanical reasoning, numerical reasoning and verbal reasoning skills.they test your ability,time management and accuracy during test ..
Awareness of Topics Relating to Your Background Is Crucial.
The most thought-provoking way to start a group discussion is to ask a question or add a famous and relevant quote to the topic. You can simply grab the attention of everyone as an initiator and thus lead a powerful group discussion by using a question on the topic.
I applied via Company Website and was interviewed before Feb 2023. There was 1 interview round.
Activation function is a mathematical function used in neural networks to introduce non-linearity.
Activation function is applied to the weighted sum of inputs in a neural network node.
It helps in determining the output of a node or the activation of a neuron.
Common activation functions include sigmoid, tanh, ReLU, and softmax.
Activation functions introduce non-linearity, allowing neural networks to learn complex patter...
I applied via Referral and was interviewed in May 2022. There was 1 interview round.
Covariance measures the relationship between two variables, while correlation measures the strength and direction of the relationship.
Covariance can be positive, negative, or zero, indicating the direction of the relationship between variables.
Correlation is always between -1 and 1, with 1 indicating a perfect positive relationship, -1 indicating a perfect negative relationship, and 0 indicating no relationship.
Covaria...
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