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Conducted financial, performance, and cost analysis on logistics operations, including shipment-level cost structures, service performance, and channel efficiency to identify cost drivers and optimization opportunities.
Owned the definition and delivery of analytics products, including operational KPI dashboards, ensuring alignment between metrics, data models, and business objectives.
Collected articles and scrapped social comments on websites and analyzed the context data to identify marketing risk from commercial competitor.
Conducted the energy market data analysis, implemented pre-processing pipeline, and extracted important information from diverse datasets to inform strategic decision-making processes.
Supported the analysis of the stakeholders by leveraging machine learning techniques to cluster and classify potential customers.
Thesis: Effect of Higher-Order Variables on Prediction Model Heterogeneity
Thesis: A Computational Analysis about COVID-19 (NLP and LLM in Python with topic modeling and sentimental analysis).