Mercedes Castro

C

Business Analyst

Castro y Fernandez

May 2025 - Current (1 year 3 months)

• Support financial reporting and performance analysis through data extraction, validation and KPI tracking. • Collaborate with accounting and business stakeholders to clarify requirements and deliver data-backed insights.

U

Associate Bioinformatics Researcher

Universitat Internacional de Catalunya (UIC)

Oct 2024 - May 2025 (8 months)

• Analyzed research and operational workflows to support planning and delivery of milestones within an applied machine learning project. • Translated complex research objectives into structured tasks, documentation, and execution plans. • Collaborated on the implementation of a machine learning model for RNA structures using Python.

Fulfilment Operations Manager

LinkGraph

Mar 2022 - Jul 2024 (2 years 5 months)

• Analyzed operational and financial data to identify cost, pricing, and performance improvement opportunities. • Built and monitored KPI dashboards to track business performance and impact of initiatives. • Partnered with cross-functional stakeholders to translate insights into execution plans and measurable actions. • Led a team of 9 through data-driven initiatives that achieved a 25% cost reduction and a 15% improvement in turnaround time.

Project Manager

LinkGraph

Oct 2021 - Feb 2022 (5 months)

• Gathered business requirements and defined scope for a full-stack development team. • Translated requirements into functional specifications and prioritized backlogs. • Supported delivery tracking and communication across technical and business teams.

Business Analyst

Cargill

Aug 2020 - Jun 2021 (11 months)

• Analyzed financial and operational data to support business performance monitoring and decision-making. • Defined reporting requirements and KPIs in collaboration with stakeholders. • Developed automated BI dashboards supporting cash flow forecasting and cost analysis using SQL and Power Bi.

Data Scientist

San Cristóbal Seguros

Mar 2019 - Jul 2020 (1 year 5 months)

• Analyzed business data related to pricing and credit risk to support decision-making. • Developed analytical models and conducted exploratory analysis using Python and R. • Translated analytical outputs into insights for non-technical stakeholders.

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