Passionate about data, focused on extracting meaningful insights and bringing clarity to complex problems.
Experienced in data collection, preparation, analysis, visualization, and modeling using leading Python and
R libraries.
I graduated with honors in Geophysics, where I developed a solid foundation in numerical and statistical
analysis, as well as the discipline and research
mindset required to solve complex problems. Later I shifted my focus to data science and AI, mastering Python
and R, building expertise in machine learning, and
applying these skills to real-world problems.
Quick learner with a strong aptitude for problem‐solving, eager to contribute to a dynamic and collaborative
environment.
This project showcases the end-to-end implementation of a deep learning-based recommendation system built on the top of TensorFlow Recommenders. It leverages user interaction data from an e-commerce platform to model user preferences, achieving an average accuracy of 55% in predicting the correct product within the top 50 recommendations.
Tools: TensorFlow, Optuna, Numpy, Pandas, Plotly
Forecasted over 3,500 time series for various products across multiple stores, applying advanced forecasting models such as ARIMA and STL+ETS. Forecasted data was integrated into an interactive dashboard, enabling realtime visualization and data-driven decision-making for enhanced inventory and sales strategy.
Tools: R, Fable, tidyverse, furrr
Data collection from different sources, data cleaning, feature engineering and aggregations of provided and external data. Training and evaluation of ensemble tree-based model with posterior inspection and explanation. Reached top 5 in the public leaderboard.
Tools: Polars, XGBoost, LightGBM, CatBoost, SHAP
Looking for your next job shouldn’t feel like a full-time job. This app automates the search process by scraping listings from top job sites, storing them in a database and presenting them in a user-friendly interface. Say goodbye to duplicated applications and focus on the best opportunities!
Tools: Zendriver, Scrapy, PostgresSQL, Streamlit
Transform your business operations with a powerful and intuitive Point of Sale system tailored for small businesses. Built with PyQt6 for Windows, this all-in-one solution simplifies inventory management, streamlines transactions and offers actionable sales insights.
Tools: Python, SQLAlchemy, PyQt6, PyInstaller
Explore the simplicity and versatility of PlotGround, a Python-based tool designed for effortless data visualization. With an intuitive Tkinter interface and the power of Matplotlib, this application allows you to create stunning 2D plots and captivating 3D surface graphs. Perfect for students, researchers and data enthusiasts.
Tools: Python, Matplotlib, Tkinter
Kaggle, celebrated as a hub for data science innovation, is home to a vibrant community of experts and enthusiasts pushing the boundaries of AI and analytics through collaboration and knowledge sharing. Explore my collection of notebooks!
Tools: Python, R, Scikit-learn, Transformers, PyTorch, XGBoost, LightGBM, CatBoost
Python
R
JavaScript
LaTex
Anaconda
Docker
Jupyter
Git
HTML5
CSS3
Selenium
Scrapy
MySQL
PostgresSQL
SQLAlchemy
MongoDB
Scikit-learn
PyTorch
TensorFlow
Keras
Numpy
Pandas
SciPy
Tidyverse
Tableau
MS Excel
PySpark
Polars
Apache Airflow
Matplotlib
Plotly
ggplot2
Streamlit
Shiny
San Juan, Argentina (2016-2023)
Degree: Bachelor of Geophysics
Overall Score: 8.68/10
Relevant Courseworks:
