Description

Key Responsibilities:
 

  • Analyze large datasets to extract actionable insights and drive data-driven decision-making.
     
  • Develop predictive models and machine learning algorithms to solve business problems.
     
  • Design and implement data preprocessing, feature engineering, and model training pipelines.
     
  • Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
     
  • Communicate findings and recommendations to stakeholders through data visualization and storytelling.
     
  • Stay abreast of the latest developments in data science, machine learning, and AI technologies.
     

Required Skills:
 

  • 3-4 years of hands-on experience in data analysis and machine learning.
     
  • Proficiency in programming languages such as Python or R for data manipulation and analysis.
     
  • Experience with machine learning libraries/frameworks such as scikit-learn, TensorFlow, or PyTorch.
     
  • Strong understanding of statistical concepts and techniques.
     
  • Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
     
  • Familiarity with SQL and relational databases for data querying and manipulation.
     
  • Excellent problem-solving and analytical skills, with attention to detail.
     
  • Good communication and collaboration skills, with the ability to work effectively in a team environment.
     


 

Key Skills
Education

Any Graduate

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