Francisco Carlos García Fernández

Apply machine learning and deep learning techniques and models in order to obtain specific solutions aimed at improving our clients' business. Use of programming languages such as Python, libraries (Pytorch, Tensorflow, XGBoost, Scikit-Learn,, Hugging Face,...) and knowledge of algorithms (transformers, regression, clustering, segmentation...). Work with cloud infrastructures, especially in the Google Cloud stack

Participating in a project for the HP company where I do the configuration of etls, data analysis with sql and python, management of various databases as well as the use and configuration of different AWS services: S3, Step Functions, EMR, AWS Redshift, Quicksight, Eventbridge, etc.

Participating in a project for data analysis and reporting by tools such as SQL and Python as well as automation of the invoicing of the Inditex Group

Commercial analysis, development of market research, development of mind maps, presentations, statistical analysis, use of search engines and support to the Commercial Department in preparing action plans and marketing plans.

Preparation of business plan, financial analysis and support in the management of digital marketing, regulations, financial plan, etc.

Database administration, customer loyalty, sales of the company's products both by telephone and in person, customer service, registration, modification and cancellation of policies, management of defaults, office management, processing of invoices and claims, settlement of collectors and office, support to the commercial team. Use of microsoft navision, alfresco, sharepoint, outlook, etc.

Creation and development of a course for entrepreneurs and entrepreneurs (SMEs) on entrepreneurship, financing, digital marketing, accounting-taxation and development of business plans as well as functions as a consultant in marketing, accounting and taxation matters.

Accounting, fiscal and legal management of the entity, support in external audit as well as in the formulation and monitoring of projects.

Completing the business plan, legal and financial advice, financial accounting and analytical processing payrolls and budgets, check management, inventory management, process control, billing, management of payments and charging, management of customers and suppliers, stock control, design and maintenance of website, etc.

. Competences are acquired to work, among others, with the following technologies: Python, R, SQL, NOSQL, Spark, MongoDB, Hadoop, Jupyter, Tableau, Amazon AWS, Scikitlearn, etc.