Daniel P. Email & Phone Number

Madrid, Es

Greater Madrid Metropolitan Area

Spain

As a Data Scientist in the Maps Analytics team I worked close to Software Engineers and Product Managers to develop map quality metrics to guide business decisions. Some highlights are:- Quality Metrics and Benchmarking. I developed, documented, and deployed quality metrics' pipelines in Python with Azure Data Factory backed by Databricks.- NLP Research. I applied Large Language Models (LLMs), Vector Databases, and Transformers models to solve industry problems such as Taxonomies Translation, Semantic Classification, and Entity Matching/Conflation.- Sales Success. I supported sales teams in their deals by finding and delivering the most appropriate data and metrics to engage with clients.

Madrid, Community Of Madrid, Spain

As a Data Scientist in the Finance department of Mahou-San Miguel I worked close to Controllers and Finance Heads to digitalize processes and promote a data-driven culture.I collaborated on different processes such as:– Budget Expense Control. Developed several dashboards to track commercial expenses from the CRM (Salesforce).– Clients Risk. Designed the KPIs and Implemented a dashboard to track loans risk: Exposure, Guarantees, Coverage, Payback, and others– Sales Forecast. I worked close to different head areas (marketing, advertising, logistics, etc) to build a forecasting tool to predict beer demand– Stocks Analysis. Collaborated with Controllers in the statistical analysis of distributors stock inventories to detect anomalies and promotional cheating.

Community Of Madrid, Spain

As a consultant for Risk Management I worked on mathematical and econometric techniques to measure, monitor and control credit risk on banks listed on the stock exchange.I focused on two risk models:– LGD (Loss Given Default). It estimates the share of an asset that is lost when a borrower defaults.– CCF (Credit Conversion Factor). It estimates the ratio between the additional amount of a loan used in the future and the amount that could be claimed.My role consisted on:– Implement and Design new features to improve the models accuracy and methodology– Build, Deliver and Own technical documentation complying with the European Bank standards– Support customers on maintenance and external/internal audit recommendations

Community Of Madrid, Spain

Data Analytics - Clustering - Classification - APIs IntegrationToolset: - Python (numpy, pandas, seaborn, sklearn, scipy, ...)- R - PowerBI- Git- Google Maps API servicesI develop my work in the project "TELEMATIC", an IoT project focused on HVAC systems predictive maintenance. My tasks cover data wrangling, data analytics and machine learning models developing.Some examples about the ML techniques that I daily use are: Linear and Logistic Regression, KNN, Decision Trees, K-Means, DBSCAN and Gaussian Mixtures.

Postgraduate Degree, Big Data And Data Science

Relevant coursework: Python, Spark, Tableau, Statistics, Machine Learning, Deep Learning Final Project: A Machine Learning Approach.

Master Of Science - Ms, Applied Mathematics

Coursework: - Quantum Information and Computing - Advanced Linear Algebra - Convex Optimization - Optimization in Banach Spaces

Degree, Mathematics, 7.2/10

Modules with distinction (MH): Statistical Inference, Calculus, Sampling theory, Games theory and Astrophysics. Specialization Modules.