DATA SCIENCE - ML INTERNSHIP AHMEDABAD

About the Role

As a Data Science - ML Intern at Sparks to Ideas, you will be working on live industry projects, gaining hands-on experience with data-driven technologies, and having the opportunity to convert into a full-time role based on performance. You will be part of an innovation-driven IT organization delivering intelligent software solutions using Data Science, Artificial Intelligence, and Machine Learning. Your primary responsibility will be to work on real-world projects, applying your knowledge of data science and AI technologies to drive business outcomes.

Key Responsibilities

• Work on live industry projects to gain hands-on experience with data-driven technologies.
• Apply your knowledge of data science and AI technologies to drive business outcomes.
• Collaborate with industry professionals to gain expert mentorship and guidance.
• Analyze and interpret complex data to identify trends and insights.
• Develop and implement data visualization strategies to communicate findings to stakeholders.
• Stay up-to-date with the latest advancements in data science and AI technologies.
• Participate in code reviews and contribute to the development of high-quality code.

Skills & Qualifications

• Pursuing a degree in B.E / B.Tech, BCA, MCA, M.Sc (Data Science/AI/ML) or related fields.
• Proficient in Python, SQL, Machine Learning, Data Visualization, data wrangling, MS Excel, and Git.
• Familiarity with TensorFlow and Statistics.
• R programming skills are a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

What You'll Learn

As a Data Science - ML Intern at Sparks to Ideas, you will have the opportunity to learn from industry professionals, gain hands-on experience with real-world projects, and develop your skills in data science and AI technologies. You will also have the chance to convert into a full-time role based on performance, providing a clear career growth path.

Resume Tip

When applying for this role, make sure to highlight your hands-on experience with data science and AI technologies, as well as any relevant projects or coursework you have completed. Emphasize your ability to work collaboratively with industry professionals and your passion for data-driven technologies.