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IDFC FIRST Bank
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 4 interview rounds.
I am currently responsible for leading a team of data scientists, developing and implementing data-driven strategies, and ensuring the quality and accuracy of data analysis.
Leading a team of data scientists
Developing and implementing data-driven strategies
Ensuring quality and accuracy of data analysis
Developed a predictive model for customer churn using machine learning algorithms.
Used Python for data preprocessing and model building
Applied techniques like feature engineering and hyperparameter tuning
Evaluated model performance using metrics like accuracy, precision, and recall
The loss function used in XGBoost is typically the gradient boosting algorithm.
XGBoost uses the gradient boosting algorithm to minimize the loss function
Common loss functions include regression loss functions like squared error and logistic loss for classification
Users can also define custom loss functions in XGBoost
My professional aspiration is to lead a team of data scientists to drive impactful insights and innovations.
Lead a team of data scientists to tackle complex problems
Drive impactful insights and innovations through data analysis
Continuously learn and stay updated on the latest trends in data science
Collaborate with cross-functional teams to implement data-driven solutions
Seeking new challenges and growth opportunities in a more innovative environment.
Desire for new challenges and growth opportunities
Seeking a more innovative work environment
Looking to expand skill set and knowledge in data science
I am excited about the opportunity to contribute my data science skills to IDFC's innovative projects and make a meaningful impact.
Excited about contributing data science skills to innovative projects at IDFC
Opportunity to make a meaningful impact through data-driven solutions
Interested in working with a reputable organization like IDFC
My strengths include strong analytical skills and attention to detail. My weaknesses include a tendency to overthink and difficulty delegating tasks.
Strengths: strong analytical skills
Strengths: attention to detail
Weaknesses: tendency to overthink
Weaknesses: difficulty delegating tasks
What people are saying about IDFC FIRST Bank
I applied via Walk-in and was interviewed in Apr 2021. There was 1 interview round.
I applied via Referral and was interviewed before Jun 2021. There were 3 interview rounds.
SQL server
SQL DBA
I appeared for an interview before Sep 2019.
I applied via Campus Placement and was interviewed before Oct 2022. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in Nov 2024. There were 2 interview rounds.
It consists of resume-based skill questions.
I want to join ICICI Bank because of its strong reputation in the banking industry and the opportunities for growth and development it offers.
ICICI Bank is one of the leading banks in India with a strong reputation for innovation and customer service
I am impressed by ICICI Bank's focus on technology and digital banking solutions
I believe that working at ICICI Bank will provide me with opportunities for career growth an...
I have worked on projects involving data analysis for marketing campaigns, customer segmentation, and sales forecasting.
Developed predictive models to optimize marketing strategies
Utilized clustering techniques for customer segmentation
Built time series models for sales forecasting
I applied via LinkedIn and was interviewed in Nov 2022. There were 4 interview rounds.
Pandas and SQL questions and some business case
LSTM has better memory retention than RNN.
LSTM can remember long-term dependencies better than RNN.
LSTM has a gating mechanism that controls the flow of information.
LSTM can handle vanishing gradient problem better than RNN.
LSTM is more suitable for tasks that require long-term memory, such as speech recognition and language translation.
Multicollinearity is a phenomenon where two or more independent variables in a regression model are highly correlated.
It can lead to unstable and unreliable estimates of regression coefficients.
It can make it difficult to determine the individual effect of each independent variable on the dependent variable.
It can also result in inflated standard errors and p-values, making it difficult to identify statistically signif...
Indexing is a technique used to optimize the performance of databases by creating a data structure that allows for quick retrieval of data.
Indexing involves creating a data structure that maps the values of a particular column in a database table to their physical storage locations on disk.
It helps in speeding up data retrieval operations by allowing the database to quickly locate the rows that satisfy a certain condit...
posted on 20 Jan 2025
based on 1 interview
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