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.

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

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