Dancell - Data Scientist with 5 years of expertise in predictive modeling and analytics

Utilized Python for data analysis, machine learning, and automation tasks.

Performed statistical analysis and visualization to derive insights from datasets.

Developed predictive models using algorithms like Random Forest, SVM, and neural networks.

Designed queries and optimized databases for efficient data retrieval.

Advised stakeholders on best practices when dealing with vendors or suppliers., Conducted research on industry trends in order to inform negotiations., Analyzed cost data, financial statements, sales records, and other information to identify potential areas of negotiation., Researched competitive market prices to ensure best value for products and services purchased., Evaluated proposals from suppliers against organizational requirements before making a recommendation on award decisions., Monitored vendor performance and compliance with contractual obligations., Collaborated with cross-functional teams including finance, legal, operations to ensure successful outcomes of negotiations., Negotiated and facilitated business agreements with vendors for the purchase of goods and services., Maintained awareness of current economic conditions to leverage during negotiations., Developed strategies for improving supplier relationships through effective negotiating techniques., Assessed risks associated with contracts prior to signing and made recommendations accordingly., Generated periodic reports which highlighted progress against objectives set at the start of each negotiation cycle., Performed due diligence reviews on potential new vendors prior to engaging them in any negotiations., Prepared detailed reports outlining results of negotiations for senior management review., Authored settlement agreement documents containing resolutions and obtained signatures from both parties to finalize agreements., Readied settlement paperwork for signature., Delivered conclusions on mediation cases., Arranged appointments between parties for mediation.