Job Description

: Data Science Intern
Company Name: Saanvi Innovations
Location: Gwalior

About the Internship:
Saanvi Innovations is seeking enthusiastic and talented individuals to join our team as Data Science Interns. This is an excellent opportunity to gain hands-on experience in analyzing complex datasets, building predictive models, and deriving actionable insights to solve real-world problems.

Key Responsibilities:

• Assist in collecting, cleaning, and preprocessing large datasets.
• Perform exploratory data analysis to uncover trends and patterns.
• Develop and implement machine learning models for predictive analytics.
• Collaborate with the team to create data-driven solutions for business challenges.
• Prepare visualizations and dashboards to communicate findings effectively.
• Document processes, methodologies, and results for future reference.

Requirements:

• Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field.
• Strong knowledge of Python/R and data analysis libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn).
• Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Understanding of SQL and database management.
• Excellent problem-solving and analytical skills.
• Good communication and teamwork abilities.

Duration:
This is an internship position with a duration of 3 to 6 months.

Perks and Benefits:

• Hands-on experience in real-world data science projects.
• Mentorship from experienced professionals in the field.
• Certificate of Internship upon completion.
• Opportunity to work in a collaborative and innovative environment.

How to Apply:
Interested candidates can send their resumes to [+91 7724912076].

Start your data science journey with Saanvi Innovations and make an impact through data!

Job Types: Full-time, Fresher, Internship
Contract length: 6 months

Pay: ?3,000.00 - ?10,000.00 per month

Benefits:

• Provident Fund

Schedule:

• Day shift

Supplemental Pay:

• Overtime pay

Experience:

• total work: 1 year (Preferred)

Work Location: In person