- Proficiency in Python Programming
- Data Manipulation skills in Pandas, Numpy
- Understanding and application of ML algorithms and libraries like scikit-learn, Tensor flow ,PyTorch
- Ability to create meaningful EDA visualization using tools like Matplotlib, seaborn
- Strong skills in Statistical concepts
- Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
- Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics