- Develop and deploy Machine Learning and predictive analytics models.
- Perform data exploration, feature engineering, and statistical analysis.
- Build data pipelines and automate data processing workflows.
- Collaborate with business stakeholders to solve complex problems using data.
- Present insights through data visualization and storytelling.
- Monitor and optimize model performance in production.
Required Skills
- Solid proficiency in Python, SQL, and Data Analysis.
- Experience with Machine Learning, Statistical Modeling, and Predictive Analytics.
- Hands-on experience with Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.
- Experience with cloud platforms (Azure, AWS, or GCP).
- Familiarity with Big Data technologies and MLOps practices.