Data Science & AI/ML (Freshers)

• Proficiency in Python programming with a strong grasp of core concepts.
• Basic Data Structures and Algorithms: Familiarity with common data structures (lists, dictionaries, tuples) and basic algorithms (sorting, searching) is advantageous.
• Problem-Solving Skills: Ability to analyse and solve programming problems using Python.
• Understanding of Object-Oriented Programming (OOP): Basic understanding of OOP principles like classes, objects, inheritance, and encapsulation
• Basic knowledge in Data Science including but not limited to ETL, EDA, Data Processing, Visualization etc.
• Familiarity with machine learning and deep learning models (e.g., TensorFlow, Keras, PyTorch).
• Experience working with SQL DMBS like PostgreSQL is a plus.
• 
  Basic understanding of Natural Language Processing (NLP) concepts
• Knowledge of Python frameworks like Django
• Familiarity with Jira and Agile methodology will be an added advantage.
• Certification or experience in data analysis, data mining, and statistical modelling is an added advantage
• Strong knowledge of statistical concepts and techniques.
• Knowledge in data visualization tools (Tableau, Power BI, etc.) and SQL.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills.
• Certification in Data Science is an added advantage.

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Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Experience: 0 to 1 yr / 2025 Passouts / upcoming 2026 passouts Preferred
• Academics 10th & 12th 85% and above, UG/PG 7 cgpa & above preferred
• Package- 4-6 LPA