•Proficient in Python, Pandas, and NumPy for efficient data manipulation.•Implemented interactive data visualizations with Matplotlib, Plotly, and Power BI, and also created a Streamlit UI for basic EDA.▪︎New Product Introduction: Tech Stack: Python | Pandas | Plotly | Numpy | Scikit-Learn• Performed feature selection and clustering analysis to accurately identify product clusters for a successful new product launch.• Applied multiple machine learning algorithms with hyper parameter tuning for sales forecasting.• Implemented post-model adjustments to optimize the forecast, achieving 63% accuracy to drive product strategy.▪︎Demand Forecasting Tool: Tech Stack: Python | Pandas | Databricks | Pyspark| SQL | Plotly | Matplotlib• Engineered an end to end tool for sales forecasting which enables more effective demand planning and inventory management by leveraging Python, EDA, and Predictive Modelling, achieving 67% accuracy.• Implemented a holiday impact analysis which helps in improving an overall accuracy by 1.5%.• Worked on ETL activities, demand segmentation, outlier detection, model selection and tuning.• Implemented and validated data model, in post-production manage weekly pipeline related issues and client deliverables such as accuracy reports.