Analyze and interpret complex datasets to generate business insights. Develop, validate, and deploy machine learning models.
Perform data preprocessing, feature engineering, and model optimization.
Build dashboards and reports for business stakeholders.
Collaborate with cross-functional teams to deliver data-driven solutions. Monitor and improve model performance.
Required Skills: Solid proficiency in Python and SQL.
Experience with Machine Learning, Pandas, NumPy, and Scikit-learn.
Knowledge of Tableau. Familiarity with cloud platforms (AWS/Azure/GCP) is an advantage. Solid analytical, problem-solving, and communication skills. Qualification: Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
68 years of relevant experience in Data Science and Machine Learning.