Daniel Ruiz
Verified Expert in Engineering
Data Scientist and Machine Learning Developer
Hamburg, Germany
Toptal member since July 21, 2022
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.
Portfolio
Experience
Availability
Preferred Environment
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.
Work Experience
Senior Analyst in Analytics
Avanade
- 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.
Experience
Stock Forecasting using Twitter API and Sentiment Classification
https://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.
Education
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
Certifications
CFA Certificate in ESG Investing
CFA Institute
Microsoft Certified: Azure Data Engineer Associate
Microsoft
Microsoft Certified: Azure Data Scientist Associate
Microsoft
Skills
Libraries/APIs
TensorFlow, PyTorch
Languages
Python 3, Python
Platforms
Azure, Databricks
Other
Machine Learning, Bayesian Statistics, Data Science, Econometrics, Predictive Modeling, Artificial Intelligence (AI), Data Engineering, Environmental, Social, and Governance (ESG), Statistics, Programming, Time Series, Data Mining, Text Classification, Sentiment Analysis
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