\(*-*)/ Data Scientist | Transforming Data into OpportunitiesI have a strong passion for using data to create real value for businesses. My approach focuses on transforming data into actionable insights that guide strategic decisions and directly impact company results. I have experience with predictive models such as sales forecasting and customer segmentation, applying solutions to optimize decisions and improve outcomes.One of my most valuable skills is the ability to translate complex technical concepts into accessible language for non-technical audiences. I believe effective communication is key to connecting data science with business goals.My Journey in 20 seconds:It all started during my graduation in Systems Analysis and Development, where I fell in love with the power of data to tell stories and drive strategic decisions. Since then, I’ve pursued self-taught learning, developing hands-on projects that solidified my foundation, and later transitioned into a degree in Data Science.On the technical side, I have experience building classification models (for churn prevention and identifying customers with the highest potential return in marketing campaigns) and regression models (such as sales forecasting and apartment price estimation). I also implemented robust solutions using Flask, creating APIs to access models and forecasts, and developed a Telegram bot that allows users to access these forecasts directly on their phones. All these projects are available on my GitHub.Currently, I am deepening my knowledge of segmentation algorithms and reading about how data science techniques align with business goals. Books like Data Science for Business, Storytelling with Data, and Lean Analytics have been fundamental in expanding my perspective on the impact of data in organizations.Tech Stack:Languages and Libraries: Python (sklearn, pandas, numpy, matplotlib, seaborn, PySpark)Cloud: AWS (Cloud9, Athena, S3)Visualization: Power BIDatabases: SQL, MongoDBVersion Control: Git/GitHubContainerization: Docker