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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
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I appeared for an interview before Oct 2019.
I appeared for an interview before Feb 2021.
I worked as a Data Scientist at XYZ Corp, focusing on predictive analytics and machine learning for customer behavior insights.
Developed predictive models to forecast customer churn, achieving a 15% reduction in attrition rates.
Collaborated with cross-functional teams to implement data-driven strategies, improving marketing campaign effectiveness by 20%.
Utilized Python and R for data analysis, creating visualizations t...
I'm seeking new challenges and opportunities for growth that align with my career goals and aspirations in data science.
Desire for professional growth: I'm looking to expand my skill set in advanced machine learning techniques.
Seeking a collaborative environment: I thrive in teams that encourage knowledge sharing and innovation, like my previous role at XYZ Corp.
Interest in impactful projects: I want to work on project...
House price prediction
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 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 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 Referral and was interviewed before Sep 2021. There were 2 interview rounds.
I applied via Approached by Company and was interviewed before Jun 2021. There were 2 interview rounds.
I applied via Walk-in and was interviewed before Mar 2021. There were 2 interview rounds.
based on 1 interview experience
based on 1 review
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