Data scientist with experience in advanced analysis and modeling techniques. Experience in Python and the go to data analysis libraries (Pandas, NumPy and Scikit-learn). Extensive knowledge in data manipulation, cleaning and visualization. Skills in developing machine learning algorithms. Ability to communicate technical results to non-technical audiences. Passionate about discovering hidden patterns and generating meaningful insights from data. I am looking for challenging opportunities in data science.
Forecasting of car accidents in Buenos Aires City (Analysis, Data Manipulation and Time Series Modeling) : link
Working with a Dataset of vial accidents in the city of Buenos Aires, Argentina.
Objectives:
- Data Collection
- Root Cause Analysis
- Geospatial Analysis
- Predictive Modeling of Time Series Main
- Standard Process of ETL (Extraxct -> Transform -> Load)
- 22 MB of data to clean, normalize and model
- SparkSQL Analysis of convertion, assists and points
- PowerBI Dashboard for searching players Statistics
- Exploratory Analysis
- Root Cause Analysis
- Analysis
- Predictive Modeling of Time Series
Covid and Pneumonia X-rays image Classifiaction (CNN) link
Implementing a Convolutional Neural Network for classifying X-rays images of lungs, consiting of people with COVID-19 inffections, pneumonia, and healty pacients.
CLI Calendar link
A CLI (Command Line Interface) App with Python dumping the dates and task and meetings in a json file
Obesity survey Analisys with Wrapper Methods link
NFL Winners Prediction link
House prices Regression link
Breast Cancer Classification link
The Dataset that i covered is about