Within this web application, I employ a range of data science tools and Python to conduct real-time predictive analysis of the projected listing price for cars. The code integrates with MercadoLibre's API to fetch the necessary data, which is then processed and refined using Python for model input. Subsequently, statistical techniques are applied to assess central tendencies, including mean, median, and quantiles.Following data preparation, the application proceeds to train four distinct machine learning models. The predictions generated by these models are presented alongside their respective performance metrics and the previously mentioned statistical insights. The technology stack underpinning this project encompasses Google Cloud Run for deployment, Docker for containerization, Git for version control, and a comprehensive array of Python libraries to facilitate the data analysis and modeling process.

I served as a Data Scientist, specializing in financial scoring, credit reporting, and income prediction. Managed and analyzed extensive credit report data, extracting valuable insights to enhance the accuracy of credit scoring. This involved web scraping to gather up-to-date credit information and incorporating it into our scoring algorithms.Designed and implemented an Income Predictor model using machine learning algorithms. This model played a crucial role in assessing an individual's income level, allowing for more precise financial risk evaluation.This role allowed me to strengthen my expertise in financial analytics and data-driven decision-making, contributing to the company's mission of providing accurate and timely financial insights.

I was responsible for the extraction of data from various sources, encompassing multiple formats such as SQL databases, XML, JSON, Parquet, and CSV files. This involved developing robust data pipelines to efficiently gather and consolidate information from diverse origins, using API requests and web scrapping.Data cleansing was a critical aspect of my work, which involved tasks like sorting, joining, handling missing values, and encoding data. I consistently applied data validation techniques (like Pattern Matching or Cross-Field Validation) to all stages of data handling, ensuring that the information was accurate and reliable.

During this period I worked as a real estate agent but also I developed a cellphone retail shop and an ice cream parlor with sales to the public and through a delivery platform.Employee management / Sales Processes / Online and Direct Sales / Business management / Customer serviceNevar heladoshttps://www.instagram.com/nevarhelados/Founhttps://www.instagram.com/founcelulares/

I worked as a technical buyer, purchasing medications and disposable medical supplies.I had to negotiate with pharmaceutical companies for price agreements, delivery deadlines, and payment terms. Other responsibilities were searching for new suppliers andcreation and tracking of purchase orders.I managed over 500 high-turnover items and an annual budget of 1,500,000 USDDaydes S.A., Pharmaceutical and Medical Product Importer.Website: www.daydes.com.ar

Main functions and responsibilities:Preparation of progress and market share reports for the sales management.Weekly monitoring of specific items, special prices and promotions.Conducting analysis of competition in the local area.Customer service and handling of complaints.Assisting with billing tasks.Company: Casa Oslé , Distributor and WholesalerExclusive distributor for Massalin Particulares.Website: www.osle.com.ar