Key Responsibilities:

1.Develop, optimize, and deploy time series models such as ARIMA/SARIMA and Prophet for forecasting and trend analysis.

2.Apply advanced machine learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, and XGBoost to solve diverse business challenges.

3.Design, train, and deploy deep learning models like Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs) for advanced predictive analytics.

4. Leverage strong statistical knowledge to analyze data, perform hypothesis testing, and derive actionable insights.

5. Collaborate with cross-functional teams to understand business objectives and deliver data-driven solutions.

6. Communicate complex technical results effectively to stakeholders through reports, dashboards, and presentations.