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Miguel Martín Tapia

Miguel Martín Tapia

Senior Data Engineer

Mercadona Tech

Technologies

My Portfolio Highlights

My New Track

Python Fundamentals

My New Course

Introduction to Python

Insights artist, painting vivid pictures of knowledge with data as the brush.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Introduction to Python

course

Intermediate Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Mercadona Tech | Mar 2023 - Present

Senior Data Engineer

N/A

Leroy Merlin | Apr 2019 - Mar 2023

Data Scientist

Collaborate on creating the in-house tool used to define the regular assortment composition using BigQuery, Python, GKE, PubSub and CloudSQL- PostgreSQL. Created several algorithms as part of the solution (for example, adjusted “web review scores” based on time and number of reviews). Won one of the prizes in the annual Adeo internal hackathon with a solution to provide the best discount for products at the end of its life using BigQuery, Python and AutoML. Design and develop several ETL processes to move data from a semi- processed state inside the DWH (BigQuery) to a smaller, low latency database in order to be used by APIs and visualization tools. Pentaho Kettle, Python, SQL, GCS. Create a time-series forecasting model PoC for optimizing the monthly objectives with notebooks, Python, Tensorflow for LSTM and FB’s prophet. Create a solution with BigqueryML, for the prediction of the probability of a delivery service arriving later than expected enabling the salespeople to move the delivery date backwards at order-creation time. Coordinate the deployment of a Basket Analysis tool to help salespeople offer the best products to complete a purchase with BigQuery, SpringBoot and Vue. Create different DataStudios to help the business understand its data and take a data-driven decision. BigQuery -> DataStudio.
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CAPITOLE CONSULTING | Oct 2018 - Apr 2019

Business Intelligence Consultant

Create a machine learning approach to help the business identify under and over-performing products in order to be proactive with the actions around them. Data extracted from Teradata DWH and processed with Python (pandas, scikit-learn) Upgrade a performance tracking tool in the client company by ingesting daily data from Teradata or SAP BO reports, feeding it into elasticsearch and visualizing it with a Custom Vue solution. Help the business analyze data available regarding Stocks, Prices, Sales, Purchases and others using SAP BO and data from the DWH (Teradata)

Minsait | Feb 2016 - Feb 2017

Business Analytics Consultant

Help a Bus Operating company understand its data by designing and developing a reporting solution using Microstrategy and SQL Server. Provide an Airline Company with a complete BI solution in order to be able to analyze the high volume of data they were handling on a daily basis. SQL Server, SSIS, SSRS. Collaborate in the creation of Machine Learning PoCs for several projects, for example, predicting the electricity usage of consumers in order to anticipate the capacity needed to buy the following days. Python, R, Knime.

Indra | Mar 2014 - Feb 2016

Junior Business Analytics Consultant

N/A

everis | Oct 2012 - Mar 2013

Entry-Level Developer

Design a BI solution from scratch for a Railway Company. SAP BO, SQL, Oracle Database, JasperETL Maintain and improve BI solution for another Railway Company. SAP BO, SQL, Oracle Database, SAP Data Services. Design and develop ETL solutions for several Toll Road Operators. SQL, Oracle Database, Talend Open Studio Data Integrator.

My Education

Take a look at my formal education

Bachelor’s Degree, Computer Science and Engineering. Minor in Computer ScienceUniversidad Carlos III de Madrid | 2013

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