David Diaz

Data Analytics on testing engineering, working in several projects for different automotive customers: Daimler AG, Ford, Porsche, ... involving Testing Traces Analysis. Development and implementation of web applications and dashboards for visualizing insights and performance results. Furthermore, supported the algorithm implementation for road lane marking detection by image processing in Python. Use of Git and Scrum methodology in the daily routine. Tools: Python, Power BI, Ethernet & Can Tools, Jira

Worked in different projects on data analysis for big electricity Companies as customer. (E.ON Viesgo) Automation and Implementation (ETL) of Oracle Data updating processes. Q&A and Dataquality before being displayed on a visual Play Store customer application based on power consumption and its association with their invoices. Different Analysis for business ideas (Churn rate, electric appliances disaggregation...) Programming tools: SAS ( SAS Enterprise Guide, Data Integration Studio), SQL, R

Analyzed different customer and portfolio segmentations focused on client loyalty. Used clustering tools for business marketing plans and developed forecasting models for retail sales.

Actividades y asociaciones: Analysis of Tracking & Eventing Data from different providers (OPTA). Power BI Dashboards showing different sport analysis and metrics. Tools: SQL, Python, R, Power BI

Time Series Analysis: ARIMA models with SAS Pattern Recognition & Image Processing: Matlab Machine Learning: SAS Miner Social Network Analysis, and Data Mining: Gephi TFM: Jelinski-Moranda Model