Data analysis, Python, data visualization, web scraping, data cleaning

Summary

Experienced data analyst with a strong proficiency in data cleaning, preprocessing, and exploratory data analysis. Skilled in utilizing supervised and unsupervised learning algorithms for machine learning tasks. Possesses robust coding abilities in Python, leveraging data science libraries like NumPy, pandas, scikit-learn, and TensorFlow. Demonstrates competence in creating informative visualizations with Matplotlib and Seaborn. Well-versed in statistical and probability concepts, proficient in SQL for data retrieval and manipulation. Excellent communication skills, both verbal and written, for presenting findings and insights. Total years of experience: 1 year

Expectations

Flexible, good salary, decipline

Employment Preferences

Relocation destinations:

  • New York, United States
  • England, United Kingdom
  • Dubayy, United Arab Emirates
  • Berlin, Germany
Expected Base Salary

*,*00,000 USD

Expected Hourly Rate

** USD/hr

Experience

Total Professional Experience

no experience

Startup Experience

no experience

Enterprise Experience

no experience
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