Neha A.

Neha A.

Data Scientist and machine learning

Wardha , India

Experience: 4 Years

Neha

Wardha , India

Data Scientist and machine learning

25356.6 USD / Year

  • Notice Period: 90 Days

4 Years

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About Me

Accomplished Data scientist with a passion for delivering valuable data through analytical functions and data retrieval methods into business insights and proficient in building statistical models with Python and ML.

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Portfolio Projects

Component Failure Analysis of Bombardier’s Railway

Company

Component Failure Analysis of Bombardier’s Railway

Role

Machine Learning Engineer

Description

Component Failure Analysis of Bombardier’s Railway: The project's goal is to build a Machine Learning system capable of identifying which critical component will break down soon and assist in the decision-making of the maintenance of components.

Effectively predicted and reduced the cost of sudden failure & achieve safe transportation using ML algorithms like regression, Decision tree, Random forest etc

Deployed on Django which shows the frontend page where all the reading have to fill and after submittin it will give you which component will fail

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Predictive Maintenance analysis

Company

Predictive Maintenance analysis

Role

Data Scientist

Description

Predictive Maintenance analysis: Build Multivariate time series forecasting model which helps to reduce the production breakdown and suggest preventive maintenance schedule of plant machinery. 

In this project we got the 10 days data from client which is IOT sensor based real time  data for different plant machineries and data was stored in Influxdb.

In this we performed data cleaning, exploratory analysis and Feature selection for plant maintenance. So, data consist of 70-80% nan values.

After dealing with nan values, we apply forecasting. For this  we have to check whether data is stationary or not. If not then we have to make it stationary.

Afterwards we predict the future readings for next 48 hrs and deployed it on flask which gives us breakdown point on basis of the bottles readings for particular machines.

 

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