Data Science Part Time Internship

Selected intern's day-to-day responsibilities include:
Data Science Intern Responsibilities
Data Collection & Cleaning: Assist in gathering, cleaning, and preprocessing raw data from various sources for analysis.
Exploratory Data Analysis (EDA): Perform exploratory data analysis to uncover trends, patterns, and insights.
Data Visualization: Create data visualizations, dashboards, and reports to communicate insights effectively to stakeholders.
Model Building: Assist in building and fine-tuning machine learning models under supervision, using algorithms such as regression, classification, clustering, etc.
Data Reporting: Support the preparation of reports summarizing findings, trends, and predictive models.
Collaborative Work: Work closely with data scientists, engineers, and business teams to identify data-driven solutions for business challenges.
Experimentation: Participate in testing, experimentation, and validation of models to ensure their accuracy and reliability.
Documentation: Maintain clear documentation of processes, code, and project workflows.
Research: Stay updated on the latest data science trends, tools, and techniques and present new ideas for improvement.
Support for Automation: Help identify opportunities for automating data processes to increase efficiency.

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