Clients:Samsung Electronics Canada (samsung.com/ca/)• Collaborated with Samsung advanced analytics team, elicited requirements and presented findings weekly• Performed data extraction, cleansing, transformation from multiple data sources for further analysis• Decomposed times series sales data (national) of wearable products to analyze trend and seasonality • Built reporting dashboards that express the meaning of data and tell a clear story for intended audienceStock Trends Publications (stocktrends.com)• Reviewed model memory usage during training and computational requirements • Uncovered major data leakage while revising code and existing data pipeline• Engineered features that improved machine learning model accuracy• Tested XGBoost and LightGBM models and assessed scores as to provide guidance on equity securities analysis• Added SHAP (Shapley Additive Explanations) to interpret the models' predictive scores to analyze the features' contributions to the final resultsSponsor Circle (sponsorcircle.com)• Extracted and integrated the data from multiple sources (Newswire and various event management platforms) to build core business data set, while ensuring data quality• Attended regular meetings to evaluate individual progress and its alignment to business objectives• Provided technical guidance to the stakeholders on how to access processed data in a convenient format• Currently developing NLP collaborative recommender system to match platform users with events