Machine Learning Team Leader
2018 - PRESENTMototech- Developed a forecasting algorithm that predicts the performance of NFL players. The results outperform state of the arte techniques by reducing the MSE from 8.541 to 5.576.
Technologies: Keras, TensorFlow, Scikit-learn, R, PythonInvited Professor
2018 - PRESENTDigital House- Dictated theoretical and applied lectures on the following topics: topic detection, conditionality reduction, embedding, time series analysis, embeddings, sentiment analysis, and text analysis/text mining. I used Tensorflow, Python, and keras during the lessons.
Technologies: Keras, Seaborn, Matplotlib, Bokeh, TensorFlow, Scikit-learn, PythonResearch intern
2017 - PRESENTUniversity of Buenos Aires- Analyzed the texts of news using natural language processing techniques. In particular, recursive deep models for semantic compositionality over sentiment treebank in order to detect the sentiment of a sentence, dimensional reduction algorithms and topic detection methods were used with the intention of characterizing the mass media bias during presidential elections.
- Focused my study on developing better machine learning techniques which efficiently uses the information of a node and its neighbours. In addition, This new semi supervised methodology will be validated using graphs of biological and social origin.
Technologies: CatBoost, XGBoost, Keras, TensorFlow, Scikit-learn, MATLAB, R, PythonData Scientist
2016 - 2017Hexagon Consulting- Implemented different predictive models in order to describe the future financial behavior of bank clients using Python.
- Designed and implemented a recommendation system that uses text reviews in order to recommend a movie using text analysis (topic detection, sentiment analysis, and word embedding).
- Created and develop a software which statistically calculates a personal index of inflation based on a big economic and financial database.
Technologies: Bokeh, Seaborn, D3.js, JavaScript, Predictive Modeling, Scikit-learn, Python
Data Visualization Developer in Buenos Aires, Argentina
Member since October 6, 2018
Federico is currently pursuing a PhD in computer science, studying and designing new machine learning techniques. During this process, he's able to continuously learn and implement state-of-the-art algorithms and become a better data scientist each day. In the last few years, Federico has also worked at a financial consulting company, analyzing transactional data and making model predictions.
Federico is now available for hire
Portfolio
- MototechKeras, TensorFlow, Scikit-learn, R, Python
- Digital HouseKeras, Seaborn, Matplotlib, Bokeh, TensorFlow, Scikit-learn, Python
- University of Buenos AiresCatBoost, XGBoost, Keras, TensorFlow, Scikit-learn, MATLAB, R, Python
Experience
- Data Visualization 5 years
- Predictive Modeling 5 years
- Python 3 5 years
Availability
Part-time
Preferred Environment
Git, Spyder, Jupyter, Windows, Linux
The most amazing...
...prediction model I've coded outperformed the state of the art models in that area by 15%. This model was also fast and easy to interpret.
Employment
Experience
- Transparentarhttps://github.com/YamilaBarrera/transparentar
Created and developed software which uses statistics in order to analyze a complex network of fishing data.
- Graph Data Science With Python/NetworkX (Publication)Data inundates us like never before—how can we hope to analyze it? Graphs (networks, not bar graphs) provide an elegant approach. Find out how to start with the Python NetworkX library to describe, visualize, and analyze "graph theory" datasets.
Skills
Languages
Python 3, Python, JavaScript, R, SQLLibraries/APIs
Scikit-learn, Keras, D3.js, Matplotlib, XGBoost, CatBoost, TensorFlowTools
MATLAB, Jupyter, Spyder, Git, SeabornOther
Neural Networks, Text Mining, Natural Language Processing (NLP), Embedded Software, Word2Vec, Regression Modeling, Predictive Modeling, Data Visualization, Generative Adversarial Networks (GANs), BokehPlatforms
Linux, Windows
Education
- Ph.D. Candidate in Computer Science and Machine Learning2018 - 2021Buenos Aires University - Buenos Aires, Argentina
- Licenciatura (Equivalent to a Bachelor + Master Degree) in Physics2011 - 2017Buenos Aires University - Buenos Aires, Argentina
