Miguel De Frutos

Centralization and structuring of data from 15 optical shops by integrating with GIO software via ODATA, optimizing access and analysis of information in a centralized manner.

Reduction of data management and report generation time by 40%, improving operational efficiency and freeing up resources for strategic tasks.

Creation of key reports that have supported 80% of executive-level strategic decisions, enabling faster and more accurate decision-making.

Preparation for the implementation of predictive models that will increase the accuracy of management decisions by 20-30%, driving operational optimization and proactive decision-making.

Lead the adoption and training of Microsoft Copilot for over 200 employees.

Manage and coordinate the Business Intelligence team, focusing on data governance. Utilize advanced tools such as Power BI and Qlik Sense.

Collaborate with the Data Science team on data analysis and machine learning model development. Utilize the AWS environment (SageMaker, RDS, S3, Athena, BedRock) to train and deploy predictive models that optimize business processes.

Collaborate closely with C-level leaders to provide results-oriented data analysis. This approach helps support strategic decisions and promote sustainable business growth.

Worked on multiple projects involving the development of machine learning models, including customer segmentation, balance sheet projections, A/B testing, market research, and pricing strategies.

Conducted comprehensive market research to identify trends, opportunities, and potential threats, providing insights and recommendations to inform marketing strategy and product development.

Applied Technologies: Python: numpy, pandas, matplotlib, seaborn, plotly, scikit-learn, pyspark, Flask. Data Acquisition Techniques: APIs, web scraping, RegEx. Business Intelligence Tools: Tableau, PowerBI, Streamlit. Machine Learning: classification, regression, clustering, neural networks, SVM. Deep Learning: TensorFlow, Keras. Databases: SQL (MySQL, sqlite). Productization: Git, Spark (pyspark), Flask. Cloud: AWS (EC2, S3, RDS, EBS), Databricks. Projects Completed: EDA (Exploratory Data Analysis): Analysis of the global ski industry, analyzing customer ratings. Automated Google Images photo extraction program, useful for projects requiring a large number of images. Development of a binary classification model to predict the success of a startup in America for investment decisions. Development of a web application with Streamlit to visualize the results of my ML classification model. Contribution to a library project with a group of over 10 people. Project where I deployed a Web application connecting to the OpenAI API and deploying to an AWS database with EC2. Skills: Data analysis and problem-solving. Teamwork and project coordination. Data visualization and public speaking. Ability to adapt to changes and work under pressure. Knowledge of business and corporate strategy.