Chaitali (RID : 474kwbrsbmh)

designation   Software Engineer

location   Location : Aurangabad, India

experience   Experience : 3 Year

rate   Rate: $12 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Last Active: 30+ Days ago
Shortlisted : 2
Total Views : 65
Key Skills
Python SQL Jupyter Notebook
Discription

Chaitali

3 years | Software Engineer

Summary

3 years of hands-on Experience in IT industry in Artificial Intelligence. Worked on different libraries like Numpy and Pandas, Matplotlib, Seaborn.

Technical Skills

  • Python Technologies: Numpy, Pandas, Machine learning.
  • Language: Python3.
  • Databases: SQL
  • Tool: Jupyter Notebook, Pycharm.
  • Visualization: Jupyter Notebook (Matplotlib,Seaborn).
  • Soft Skills: Good verbal and written communication skills, presentation

skills.

  • ML Algorithms: Linear Regression, Decision Tree, Naive Bayes.

Work Experience

Project:

False Alarm Detection

Roles & Responsibilities:

  • Extensively used Python libraries like NumPy, pandas, seaborn and matplotlib.
  • Problems like standard scaling, categorical data and missing values were handled with appropriate techniques.
  • Making large and/or complex data more accessible, understandable and usable.
  • Transforming, improving and integrating data, depending on the business requirements.
  • Delivering the data in a useful and appealing way to users.
  • Creating and editing visual content including maps, charts, and graphs.

Duration:

1 Year

Project:

Driverless Car

Roles & Responsibilities:

  • Remote sensing method used to annotate different scenarios.
  • Creating Database for Driverless car.
  • Annotation required to facilitate automation of vehicles would significantly improve the degree of monitoring of the performance of autonomous vehicles.

Duration:

1 year

Project:

Driverless Car

Roles & Responsibilities:

  • Use programming language and tools.
  • Identify ways to improve data reliability, efficiency and

quality.

  • Use large data sets to address business issues.Prepare data for predictive and prescriptive modeling.
  • Perform data extraction, storage, manipulation, processing, and analysis using Python libraries such as numpy, pandas.

Duration:

1 year

 
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