-Collect, preprocess, and analyze large datasets to uncover insights.
-Develop predictive models and machine learning algorithms.
-Collaborate with stakeholders to define business problems and goals.
-Visualize and communicate results using dashboards and presentations.
-Build and deploy data pipelines and models in production environments.
-Stay updated on advancements in data science and machine learning.
-Document processes and methodologies for future use.

-Proficiency in programming languages such as Python or R.
-Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn).
-Strong knowledge of SQL and database management.
-Familiarity with big data tools like Hadoop or Spark is a plus.
-Excellent problem-solving and communication skills.
-2–5 years of experience in data science or analytics.
-Bachelor’s or master’s degree in data science, computer science, or a related field.