E-commerce development for local company
Full stack architecture with React frontend and Node.js backend, with integration to a relational database (MySQL) for managing products, users, orders, and stock control.
I am a Psychologist passionate about data science and statistics.
Currently working as a Business Intelligence Manager at TP-Link for Argentina, Uruguay and Chile
I have experience in data analysis, data visualization, web development, and machine learning.
Extraction, transformation and loading of data on the company's sales or stock. Use of webscrapping to collect data from the network and perform analysis on the opinions of our clients. Clustering of our clients to understand buyer behavior. Development of a web application (CRM) for the sales team. Preparation of dashboards for the sales team
Scholarship awarded by the National Council for Scientific and Technical Research
Preparing classes and correcting exams for students
Creation of websites and web applications (such as CRM) for companies. Includes database setup.
Google Cloud
Full stack architecture with React frontend and Node.js backend, with integration to a relational database (MySQL) for managing products, users, orders, and stock control.
Development and management of a CRM web application using PostgreSQL and Django, improving operational efficiency and traceability of customer interactions.
Use of Python and JavaScript for the creation and maintenance of interactive dashboards geared towards sales and management, facilitating the periodic analysis.
Development of a Natural Language Processing (NLP) system for analyzing product reviews, using a Mistral-7B language model. Implementation of pipelines for sentiment classification and generation of interpretable explanations
This work presents the simulation of neuronal behavior, modeled as a dynamic system, using the Hodgkin-Huxley framework. The Hodgkin-Huxley model, formulated through non-linear differential equations, describes cells dynamics
This paper explores the performance of a fully connected neural network applied to the FashionMNIST dataset, with the aim of evaluating the effectiveness of different combinations of hyperparameters and optimization methods
This repository has been built with the purpose of reconstructing and analyzing some of the tools used by current recommendation systems.
In the link you will find different notebooks with Python code, annotations and bibliographic references to scientific articles
Analysis of stock levels of the TiendaMia company, located in the United States. This is based on real data from their wharehouse
Study of business problems and proposal of technical solutions.
Creation of tools, designed in a personalized way, to solve business problems.
Integrating machine learning and statistical tools for analyzing data and making informed decisions.