Mi perfil

El clasificador compara cada oferta con tus skills. Además, si el título de una oferta no parece de datos pero su descripción encaja con 3 o más de tus skills, ya no se descarta: se rescata y se puntúa. Al guardar se reclasifican todas las ofertas.

Tus skills (separadas por comas)

Data Analysis: data cleaning, exploratory analysis, reporting, KPI tracking, trend analysis, operational data analysis
Dashboards & Reporting: Power BI, Power Query, Excel reporting, dashboard development, data visualisation
Programming & Querying: Python, SQL, pandas, NumPy, Jupyter Notebook
Operations & Process Improvement: workflow improvement, operational efficiency, documentation, service performance monitoring, issue tracking
Collaboration & Communication: cross-functional teamwork, stakeholder communication, problem-solving, process support, onboarding support
Soft Skills: highly organised, detail-oriented, adaptable, proactive, team leadership, continuous learning
Analytics & BI: Power BI, Power Query, DAX, Excel, dashboard design, KPI reporting
Programming: Python, SQL, pandas, NumPy, Jupyter
Data & Databases: PostgreSQL, MySQL, relational databases, ETL concepts, data validation
Additional Knowledge: machine learning fundamentals, data modelling, forecasting, data storytelling

Tu experiencia / texto del CVAbre tu CV, selecciona todo el texto y pégalo aquí. Se detectan skills automáticamente además de las que escribas arriba.

PROFESSIONAL EXPERIENCE
Cleaning Supervisor
Principle Cleaning Services – Google Sites, London
Feb 2024 – Present
Supervise daily operations and coordinate team activity across a corporate site, ensuring service quality, compliance and performance standards are met consistently.
Track operational issues, staffing needs, attendance and service delivery, helping maintain smooth workflows and support operational efficiency.
Support reporting and day-to-day monitoring of team performance, identifying recurring issues and contributing to service improvements.
Maintain clear documentation and communicate with stakeholders across site operations to ensure priorities are managed effectively.
Developed strong organisational, problem-solving and operational planning skills in a fast-paced environment with changing priorities.
Data Analytics Intern
Genoma Plus, Colombia (remote)
Nov 2024 – Apr 2025
Supported data analysis and reporting activities using SQL, Excel and Power BI to help structure operational insights and support business decision-making.
Assisted in data preparation, cleaning and validation for dashboards and reporting tasks, improving the quality and consistency of internal data.
Built and updated visual reports and dashboards to present trends, operational findings and performance information clearly to stakeholders.
Contributed to exploratory analysis of business and operational data, helping identify patterns and support process improvement discussions.
Worked with cross-functional teams to turn data into practical insights and structured reporting outputs.

Store Manager / Supervisor
Starbucks, London
Jun 2015 – Mar 2023
Managed day-to-day store operations, team rotas, stock control and service performance in a busy customer-facing environment.
Monitored KPIs, staffing levels, stock and operational issues to support workflow improvements and maintain service standards.
Used reporting and operational information to support scheduling, prioritisation and process efficiency across the store.
Trained and onboarded team members, supporting performance, consistency and effective execution of operational processes.
Built strong experience in people coordination, problem-solving, operational planning and cross-team communication.
EDUCATION
Master’s in Data Science & Big Data
IEBS Digital School
Oct 2024 – Jul 2025
Relevant areas of study included Python, SQL, Machine Learning, Power BI, Data Warehousing, Big Data, Spark, NLP and AWS.
Final Project: Financial forecasting model using LSTM and sentiment analysis, combining Python-based analysis, modelling and dashboard reporting.
BSc (Hons) Economics, Finance and International Business
London Metropolitan University
Completed
Relevant modules included Data Science, Research and Analysis, Understanding and Managing Data, Maths and Statistics for Economists, Financial and Economic Modelling, and Business Strategy.

PROJECTS
Power BI Reporting & Dashboard Projects
Built dashboards to track KPIs, business performance and operational trends.
Used Power Query for data transformation and DAX for calculated metrics and reporting logic.
Focused on creating clear, decision-oriented dashboards for business users.
SQL & Operational Data Analysis
Developed SQL queries to extract, filter and analyse structured data from relational databases.
Applied data cleaning, analysis and reporting techniques to support business questions and performance tracking.
Financial Forecasting Model with LSTM
Built a predictive model using Python to analyse financial time-series data.
Combined historical data and sentiment inputs to support forecasting and structured analytical reporting.
CERTIFICATIONS
Diplomatura en Python, UTN
Advanced Data Visualisation with Power BI
Power BI Total en 14 Días – Analista de Datos Avanzado
ADDITIONAL INFORMATION
Location: London, United Kingdom
Right to work in the UK: Yes
English: B2
Spanish: Native
Availability: Immediate / negotiable
Work model: Remote, hybrid or office-based
Willingness to travel: Yes