Matias Sanchez Email & Phone Number

Remote

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.

Buenos Aires Province, Argentina

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.

Buenos Aires Province, Argentina

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.

San Miguel, Provincia De Buenos Aires, Argentina

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/

San Miguel, Provincia De Buenos Aires, Argentina

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

San Miguel, Provincia De Buenos Aires, Argentina

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

Electromechanical Engineer, Engineering, Electromechanical Engineering With Orientation In Industrial Automation

I completed 38 of 50 subjects. Including a lot of mathemathics, phisics, mechanics, optics, automation, electricity and electronics.

Data Scientist Professional With Python, Computer Engineering, Data Scientist

It is a job ready bootcamp of Data Science. It gives you a lot of tools to work on real world problems. From data processing, exploratory.

Crash Course Machine Learning, Computer Programming, Specific Applications, Crash Course Machine Learning

Tf keras, ML Concepts: Framing Reducing Loss Tensor Flow Training, test and validation sets Feature crosses regularization( simplicity.

Data Preparation And Feature Engineering In Ml, Data Preparation And Feature Engineering In Ml

How to collect and trasnform data to use into a ML model. Collect raw data and construct a data set. Handling imbalanced data Transform.

Python3, Computer Programming, Specific Applications, Advanced Python

Python Jupyter Notebook Visual Studio Code Classes exception handling Tkinter Django Beautiful soup OOP