Open to opportunities

Rodrigo Sacerdote

@rodrigosacerdote

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Data Scientist and Engineer with expertise in machine learning and AI.

Brazil

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What I'm looking for

I am looking for a role that fosters innovation and allows me to leverage my data science skills to drive impactful business outcomes.

I am a Data Scientist and Engineer with over three years of experience in training Deep Learning models and managing large datasets. My expertise lies in creating efficient data pipelines, utilizing fuzzy matching and NLP for data ingestion, and employing advanced methodologies for machine learning model training. I have a proven track record of developing actionable metrics that drive strategic decision-making.

At 305 Markets, I developed a portfolio of trading AI bots that achieved approximately 160% monthly returns. I successfully integrated and processed data from various sources, enhancing the quality of datasets for machine learning. My experience includes deploying high-speed servers for AI model integration and maintaining automated pipelines for efficient model training across GPU clusters.

With a strong foundation in Python, SQL, and AWS, I am proficient in leveraging tools like PyTorch, Grafana, and Power BI to optimize resource usage and model training. I am passionate about uncovering insights that lead to impactful business decisions and continuously seek opportunities to grow and innovate in the field of data science.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist and Engineer

Current

305 Markets

Jan 2024 - Present (1 year 6 months)

Developed a portfolio of trading AI bots using PyTorch, Pandas, and Scikit-learn, yielding approximately 160% monthly returns for a high-risk profile. Managed batch and real-time data, implementing data augmentation and high-speed server deployment for AI model integration. Leveraged Pandas and Grafana to develop key metrics and maintained an automated pipeline for DL model training and deployment

PyTorch Pandas scikit learn PostgreSQL Grafana Deep Learning AI Git APIs Numba

Data Scientist and Software Developer

H2 Asset

Aug 2022 - Jan 2024 (1 year 5 months)

Developed ML models to predict market movement and created web scrapers using Python, Selenium, and PostgreSQL to enhance data availability. Built an internal web app with JavaScript and NodeJS, improving documentation versioning and scalability. Automated financial reporting and analysis, and leveraged Grafana to detect trading algorithm inefficiencies, reducing slippage by 70%.

Python Pandas PyTorch PostgreSQL Selenium JavaScript NodeJS Grafana Machine Learning

Software Developer Intern

CI&T

Aug 2021 - May 2022 (9 months)

Developed new pages and components using React and SCSS, and built efficient API usage with JavaScript resulting in 3x faster response times from the website. Improved automation software with C# reducing task duration from 44 hours to 3 hours.

React JavaScript SCSS TypeScript C++APIs SQL Selenium Automation

Education

Degrees, certifications, and relevant coursework

State University of Campinas

Bachelor of Computer Engineering, Computer Engineering

Relevant coursework included Machine Learning and Neural Networks, databases, algorithms, and dynamic programming. Studied Object-Oriented Programming (OOP), team leadership, and project management.