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Implemented a predictive maintenance use case using machine learning algorithms
Collected historical maintenance data from machines
Preprocessed the data to handle missing values and outliers
Trained machine learning models to predict when maintenance is needed
Implemented a dashboard to visualize maintenance predictions
Achieved a significant reduction in unplanned downtime
Top trending discussions
I applied via Job Fair and was interviewed in May 2024. There was 1 interview round.
I have learned multiple programming languages including Python, R, SQL, and Java.
Python
R
SQL
Java
I applied via Recruitment Consultant and was interviewed in Jul 2021. There was 1 interview round.
I have used various algorithms such as linear regression, decision trees, and neural networks to analyze data and make predictions.
Used linear regression to predict housing prices based on various features
Implemented decision trees to classify customer behavior and recommend products
Utilized neural networks for image recognition tasks
Challenges included dealing with missing data and overfitting
Outcome was improved accu
The algorithm was chosen based on its ability to handle large datasets and its accuracy in predicting outcomes.
The algorithm was selected after evaluating its performance on similar datasets.
It was chosen for its ability to handle high-dimensional data and its scalability.
The algorithm was compared to other models and found to have the highest accuracy in predicting outcomes.
The choice of algorithm also depends on the
I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.
It was campus placement. We were givien the topic "future of AI and ML in automobile industry". The time given was around 15mins. The explained the process in great detail and very clearly.
I applied via Referral and was interviewed before Sep 2021. There were 2 interview rounds.
I applied via Referral and was interviewed before Feb 2021. There was 1 interview round.
Line balancing is the process of optimizing workstations in a production line to minimize idle time and maximize efficiency.
It involves analyzing the production process and identifying bottlenecks
Tasks are then rearranged to balance the workload across workstations
The goal is to achieve a smooth and continuous flow of work
Example: In a car assembly line, line balancing would involve ensuring that each workstation has a...
I applied via Approached by Company and was interviewed before Dec 2021. There were 3 interview rounds.
First off all, we ought to have some sortoff automobile and production knowledge because they will definitely check our technical skill secondly, listening skill and fluency plays significant factor
TQBM stands for 'Tudo Que Bem' which means 'Everything is fine' in Portuguese. BOM means 'good' in Portuguese.
TQBM is a common phrase used in Brazil to ask if everything is okay.
BOM is often used as a response to TQBM to indicate that everything is good.
Both TQBM and BOM are informal and commonly used in everyday conversations.
Example: A friend asks 'TQBM?' and you respond 'BOM, e voce?' which means 'Everything is fine
I applied via Referral and was interviewed before Sep 2023. There were 2 interview rounds.
Question related to NPD
Casting is the process of pouring molten metal into a mold to create a specific shape.
Casting involves creating a mold, melting the metal, pouring the metal into the mold, and allowing it to cool and solidify.
Different types of casting methods include sand casting, investment casting, die casting, and continuous casting.
Casting is used in various industries such as automotive, aerospace, and jewelry making.
I applied via Referral and was interviewed in Jul 2021. There was 1 interview round.
I applied via Walk-in and was interviewed before Oct 2021. There were 3 interview rounds.
Its all about the overview of marketing
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