• Focus on growth, behaviours and optimization projects using strategic predictive modelling and advanced statistical analysis.
• Built and implemented effective time series models using various techniques such as ARIMA, SARIMA and Fourier Transform, resulting in accurate forecasting and informed decision-making
• Build recommendation model and propose actions for projects and evaluate them with hypothesis testing
• Prepare data pipeline and automated models on Azure Machine Learning Studio (Tools: Python, Azure Synapse; Library: Scikit-learn, Pandas, NumPy)
• Develop multiple time-series prediction models with an accuracy of more than 90%
• Developed a recommendation system (K-means and Lightfm) that recommends products to outlets in an eB2B system, leading to a 2.3% increase in revenue