Verified Expert in Engineering
Data Scientist and Machine Learning Developer
Daniel is a data scientist who enjoys leveraging machine learning to guide decisions and make companies more efficient. Holding an MSc in data science and business analytics and a BSc in economics with a heavy load of statistics and econometrics, he is always eager to learn and be challenged. Over the years, Daniel has accrued experience in different sectors, like finance, healthcare, and education, and over multiple geographies, including North America, South America, and Europe.
Python 3, PyTorch, TensorFlow
The most amazing...
...thing I've done was developing machine learning engineering solutions for a flagship project and setting up an MLOps process used by dozens of data scientists.
Senior Analyst in Analytics
- Leveraged the Azure Machine Learning Studio to develop artificial intelligence and machine learning (AIML) models.
- Developed MLOps processes using Azure DevOps and Git Repos to build reusable, controllable solutions.
- Created custom documentation for a client company.
Stock Forecasting using Twitter API and Sentiment Classificationhttps://github.com/thegitofdaniel/msc-thesis-nlp-twitter
• mines data using the Twitter API;
• conducts sentiment analysis using noisy labels; and
• models company sentiment and stock market performance using different methods.
Python 3, Python
Machine Learning, Bayesian Statistics, Econometrics, Predictive Modeling, Artificial Intelligence (AI), Data Engineering, ESG, Statistics, Programming, Time Series, Data Mining, Text Classification, Sentiment Analysis
Master's Degree in Data Science and Business Analytics
Bocconi University - Milan, Italy
Bachelor's Degree in Economics
University of Sao Paulo - Sao Paulo, Brazil
CFA Certificate in ESG Investing
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Data Scientist Associate
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