Data Intern
- Internship, onsite
- Yutanix
- San Francisco Bay Area, United States of America
Salary undisclosed
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About Us
At Yutanix, we are passionate about leveraging data to drive innovation and impact. As a leading provider of AI and data solutions, we are constantly pushing the boundaries of technology to solve complex problems. We are looking for a motivated and enthusiastic Data Intern to join our team. This internship will provide you with hands-on experience in data analytics, machine learning, and data engineering, allowing you to develop valuable skills and gain insight into the world of data science.
Key Responsibilities- Data Collection and Preprocessing: Assist in gathering, cleaning, and organizing data from various sources to prepare it for analysis.
- Data Analysis: Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights that support decision-making processes.
- Data Visualization: Create charts, graphs, and dashboards to effectively communicate data insights to team members and stakeholders.
- Machine Learning: Support the development and training of machine learning models, including tasks such as feature engineering, model evaluation, and tuning.
- Reporting: Assist in creating reports and presentations that summarize findings and recommendations based on data analysis.
- Collaborative Projects: Work closely with data scientists, data engineers, and other team members on projects that contribute to real-world solutions.
- Strong analytical and problem-solving skills with attention to detail.
- Proficiency in programming languages such as Python or R.
- Familiarity with data analysis libraries such as pandas, NumPy, or similar tools.
- Basic understanding of machine learning concepts and algorithms.
- Experience with data visualization tools like Matplotlib, Seaborn, or Tableau.
- Excellent communication skills, both written and verbal.
- Ability to work independently and as part of a team.
- Experience with SQL and database management.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Previous internship or project experience in data science or analytics.
- Understanding of big data technologies like Hadoop or Spark.
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