Strong Foundation in Python Programming Language

• Proficiency in Python: The candidate should have a solid grasp of Python programming fundamentals, including data structures, object-oriented programming, and control structures.
• Experience with Key Libraries: Proficiency in using popular Python libraries such as:
• NumPy: For efficient numerical computation and data manipulation.
• pandas: For data manipulation, analysis, and visualization.
• scikit-learn: For machine learning tasks, including model development, training, and evaluation.

Desired Skills and Abilities

• Data Analysis and Modeling: Ability to apply Python libraries to analyze complex data sets, develop predictive models, and interpret results.
• Problem-Solving: Strong problem-solving skills to tackle complex data-related challenges using Python.
• Collaboration: Excellent communication skills to work effectively with cross-functional teams and explain technical concepts to non-technical stakeholders.

Work hours: Regular (Day time)

This is a immediate demand and kindly send your resume to share it with our client ASAP.