Shaik Z.

Shaik Z.

Data Analyst MLE 2.5 yrs

Narasaraopeta , India

Experience: 3 Years

Shaik

Narasaraopeta , India

Data Analyst MLE 2.5 yrs

20018.4 USD / Year

  • Immediate: Available

3 Years

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About Me

A professional data engineer with two years of experience seeking to use my data mining skills to improve business models for SpecTelligence. Accomplishments include using data mining algorithms to analyze data that helped to develop mobile applic...

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Portfolio Projects

Robust Analysis on various Cluster analysis to implement algorithm in mobile devices

Company

Robust Analysis on various Cluster analysis to implement algorithm in mobile devices

Role

Machine Learning Engineer

Description

  • SpecTelligence is a young startup company which is located in Magdeburg. Their aim is to develop mobile applications by spectral scanning.
  •  In order to develop a new application based on car industries, I am working on robust dissimilarity of various cluster techniques in order to choose the best cluster model which fits for the data.
  •  As our aim is to develop the mobile application we also need to focus on the power constraints of mobile devices.

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Work student as Software Engineer

Company

Work student as Software Engineer

Role

Software Architect

Description

  • In order to maintain the warehouse, all the data should be taken carefully. After taking the data need to classify their category based on ML tools to store them at their categorized places in the warehouse.
  • My work is to classify the articles and commands to the employees to store them at their places. Also, when some missing article exists while packing or scanning to store the article for sure they need my help to find the article position.

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Process Executive

Company

Process Executive

Description

  • Designing the data which make easy to the car makers to develop in-vehicle AI in different ways.
  • Analyzing the quality of data for auditing.
  • worked on object detection, free space, lane detection, facial expression recognition
  • Handle 20+ customer interactions per day, giving detailed, personalised, friendly and polite service to ensure customer retention.

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