Data Science Work From Home Internship

Selected intern's day-to-day responsibilities include:

Collecting, cleaning, and preprocessing data for analysis.
Exploring and visualizing data using tools like Python libraries (e.g., Pandas, Matplotlib, Seaborn).
Implementing statistical analyses and machine learning algorithms on datasets.
Evaluating model performance and making adjustments as necessary.
Collaborating with team members to understand business requirements and translate them into data-driven solutions.
Communicating findings and insights from data analysis effectively to stakeholders.
Documenting data cleaning, analysis, and model implementation processes.
Researching new data science techniques and methodologies.
Working with big data technologies like Hadoop, Spark, or distributed computing frameworks.
Participating in team meetings and discussions related to project planning and progress.
Continuing education in data science, including learning new tools and techniques and staying updated with industry trends.

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