Hi, I'm Piettro Rodrigues — Quantitative Research & Data Scientist & AI Developer
Featured Projects
A collection of projects I've worked on. Each project represents a unique challenge and showcases different aspects of my skills and expertise.
Financial Analysis and Monte Carlo Simulation Toolkit
Tech Stack
Pandas
NumPy
Matplotlib
This project delivers a modular financial analysis toolkit for extracting, standardizing, analyzing and simulating financial data (equities, indices, macroeconomic time …
Cross-Venue Arbitrage in Fragmented Markets — Spanish Equities (BME + MTFs)
Tech Stack
Pandas
NumPy
Matplotlib
Jupyter Notebook
End-to-end quantitative research system that detects high-frequency arbitrage opportunities for Spanish equities trading simultaneously across four venues (BME, CBOE, Turquoise …
Quantitative Portfolio Optimisation Engine
Tech Stack
NumPy
pandas
SciPy
CVXPY
Quantitative portfolio optimisation engine built for a competitive Master's-level challenge in which 50 anonymised assets and 1,760 trading days had …
Market-Regime Stress-Testing Engine
Tech Stack
NumPy
Pandas
SciPy
scikit-learn
Built as part of a Master's program in AI & Quantum Computing Applied to Financial Markets, this project is an …
Fixed-Income Corporate-Bond Analytics Engine
Tech Stack
pandas
NumPy
SciPy
CVXPY
This project is a production-grade, fully reproducible Python engine that prices and analyses a universe of ~2,255 European corporate bonds …
Options Analytics Package: Pricing, Risk and Strategy Backtesting
Tech Stack
Pandas
NumPy
Matplotlib
QuantLib
This project transforms a graduate-level Derivatives (Options) assignment — originally a set of exploratory, bug-prone Jupyter notebooks modeling SPY equity …
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Get In TouchProfessional Journey
Master of AI and Quantum Computing Applied to Financial Markets
Instituto BME
Executive master’s program focused on the practical application of Artificial Intelligence, quantitative methods, and emerging technologies in financial markets.The program combines strong theoretical foundations with a hands-on, project-based methodology, enabling the development, validation, and deployment of AI-driven solutions for investment strategies, portfolio optimization, and risk management.
Key Achievements
- Developed a strong executive-level understanding of AI-driven decision-making in financial markets.
- Applied quantitative and machine learning techniques to real financial datasets for asset pricing, portfolio construction, and risk management.
- Designed and analyzed algorithmic investment strategies aligned with institutional market practices.
- Gained exposure to quantum computing concepts and their potential applications in financial optimization and complex problem-solving.
- Worked with industry-standard tools, workflows, and methodologies used by leading financial institutions.
- Strengthened the ability to bridge business, finance, and advanced technology, translating complex models into actionable insights.
- Strengthened the ability to bridge business, finance, and advanced technology, translating complex models into actionable insights.
- Built a strong professional network through direct interaction with industry experts and an active alumni community across banking, asset management, fintech, and consulting.
Technologies Used
Sales Operations Analyst
NTT Data Inc
Led Sales Operations and RevOps initiatives during the integration of NTT Ltd and NTT DATA, unifying processes, systems, and data models across organizations. Expanded team scope to the IBIOL region, including Portugal and Spain, with a strong focus on automation, system integration, and data reliability to support scalable regional operations.
Key Achievements
- Developed and automated SalesOps applications and workflows in Power Apps, Power Automate, and Salesforce, centralizing 500+ annual requests and reducing response times by 80%, improving SLA compliance.
- Designed and deployed a Salesforce–Direct integration, automating 2,000+ quotes annually, reducing manual errors by 40%, and increasing Salesforce data reliability.
- Automated product-to-part number mapping and ETL processes with Python and SQL, reducing manual tasks by 70% and enhancing accuracy in Salesforce–Direct integrations.
- Implemented a data cleansing and error-tracking system in Salesforce, SQL, and Power BI, improving data quality and increasing forecast accuracy by 20%.
Technologies Used
Associate Sales Operations Analyst
NTT Ltd
Promoted to Sales Operations Analyst while still completing a Bachelor’s Degree in Economics, following one year as a Sales Operations Intern. Assumed ownership of regional analytics, automation, and performance management initiatives, supporting executive decision-making across multiple LATAM markets.
Key Achievements
- Built and standardized strategic dashboards in Salesforce and Power BI, identifying up to US$ 2M/year in lost pipeline, improving sales reporting adoption by 30%, and enabling faster leadership decisions
- Developed an automated renewal opportunity creation system in Salesforce, increasing retention rates and generating an estimated US$ 3M in additional annual revenue
- Led the development of a regional sales performance dashboard for LatAm, consolidating KPIs from multiple systems and reducing forecasting cycles by 20%
- Supported quota setting and revenue planning across 4 countries in the LatAm region, leveraging historical data and predictive models to improve target accuracy and fairness
Technologies Used
Skills & Tech Stack
Advanced expertise in Data Science, Machine Learning, and AI-driven solutions.
Core Competencies
Essential soft skills and core capabilities that drive my professional excellence.
Problem Solving
The ability to break down complex problems into structured, efficient, and data-driven solutions.
Data Analysis
Analysis, interpretation, and transformation of data into actionable insights for decision-making.
Translate Business to Technical
Converting business needs into technical requirements, analytical models, and scalable solutions.
Collaboration
Collaborative work with multidisciplinary teams, aligning technical and strategic objectives.
Continuous Learning
Constant learning of new technologies, methods, and trends for continuous technical evolution.
Attention to Detail
High level of precision in implementation, data validation, and quality of deliverables.
Technical Expertise
Comprehensive technical skills across various domains with proficiency levels.
Quantitative Finance & Financial Engineering
Financial Analysis (Tech, Fundamental & Macro)
Valuation, analysis of economic indicators, and interpretation of market cycles.
Building efficient portfolios based on risk, return, and correlation.
Optimization with real market, liquidity, and risk constraints.
Quantitative Risk Management
Measuring and controlling risk using statistical metrics and probabilistic models.
Systematic & Algorithmic Trading
Development of automated strategies based on quantitative rules and signals.
Financial Time Series & Econometrics
Financial series modeling (AR, ARIMA, GARCH) for forecasting and volatility analysis.
Pricing, rate sensitivity, and risk metrics for financial instruments.
Advanced Backtesting & Validation
Robust testing, overfitting control, and statistical validation of strategies.
Programming Languages & Software Engineering
Python
Automation, data analysis, quantitative models, and APIs.
Java
Enterprise applications, robust back-end, and scalable systems.
JavaScript
Front-end logic, integrations, and dynamic web applications.
R
Statistical computing and advanced quantitative analysis.
SQL
Modeling, querying, and optimizing relational databases.
HTML5 & CSS3
Structuring and styling responsive interfaces.
Algorithms & Data Structures
Efficient problem solving and computational optimization.
AI, Machine Learning & Advanced Analytics
Construction of predictive and exploratory models.
Pattern analysis, segmentation, and forecasting of variables.
Deep Learning
Deep neural networks applied to complex data.
Natural Language Processing (NLP)
Text processing and analysis using modern models.
Development and training of deep learning models.
Scikit-learn
Machine learning pipelines and classical models.
Using transformers for NLP and pre-trained models.
Orchestrating pipelines and automating processes with AI.
Data Visualization & Business Intelligence
Power BI
Interactive dashboards and performance analysis.
Tableau
Analytical visualizations and storytelling with data.
Matplotlib & Seaborn
Statistical graphs and exploratory visualization.
Interactive web visualizations and advanced analytics.
Excel
Power Query, Dashboards, Pivot Tables
Web Development, APIs & Databases
A complete web framework for data-driven applications.
Lightweight APIs and modular back-end services.
Developing microservices in Java.
RESTful APIs
Systems integration and service exposure.
PostgreSQL
Robust relational databases and analytical queries.
NoSQL modeling for flexible and scalable data.
Cloud, DevOps & Productivity Tools
AWS, Azure & GCP
Cloud services for deployment, data, and scalability.
Docker
Containerization and standardization of environments.
Git & GitHub
Version control and collaboration in projects.
Postman
API testing and validation.
Rapid prototyping and experimentation with data.
Modern development environments.
Documentation, organization, and interface design.
Salesforce
CRM
Power Automate & Power Apps
Automation of processes and low-code enterprise solutions.
About Me
Crafting data-driven solutions & intelligent systems.
Background
I'm a passionate Data Scientist with over 5 years of experience in transforming raw data into actionable insights. My journey started with a fascination for patterns and predictions, which led me to specialize in machine learning, data engineering, and business intelligence.
I've worked with various industries, from healthcare to finance, helping organizations leverage their data to make informed decisions. My expertise spans the entire data science lifecycle, from data collection and cleaning to model deployment and monitoring.
Beyond technical skills, I'm passionate about continuous learning and staying updated with the latest trends in AI and data science. I enjoy sharing knowledge through blog posts, speaking at conferences, and mentoring aspiring data scientists.
Data Analytics
Statistical analysis and insights
Problem Solver
Creative solutions
Team Player
Collaborative mindset
AI Expert
ML & Deep Learning
Certificates
Professional certifications and courses I've completed
Machine Learning
Alura
Issued: July 2020
70-hour training in Machine Learning, focusing on the construction, validation, and optimization of predictive models in Python. Study of supervised and unsupervised algorithms, model validation techniques, hyperparameter tuning, recommendation systems, natural language processing (NLP) applied to sentiment analysis, and deep learning fundamentals using Keras.
Django: Create applications in Python
Alura
Issued: June 2025
This training course, totaling 47 hours, focuses on web development with Django, specifically on creating web applications in Python following best development practices. The content included the use of templates, data persistence and administration with Django Admin, user and form authentication, integration with OAuth 2.0, implementation of CRUD operations, and data persistence in Amazon S3, with an emphasis on security, scalability, and code organization.
Statistics with Python
Issued: April 2024
71-hour training course in Statistics with Python, focusing on the application of statistical methods for data analysis and data science. Study of frequencies and statistical measures, probability and sampling, hypothesis testing, correlation and regression, advanced linear regression, and analysis of experiments, using Python for hypothesis validation, predictive modeling, and support for data-driven decision making.
Hobbies, Interests & Blog
Sharing my thoughts, experiences, and insights from my journey as a data scientist. Read about challenges, learnings, AI engineering stuff, and the exciting world of technology.
Cooking
Passionate about experimenting with different cuisines and flavors. Love trying new recipes from around the world.
Traveling
Exploring new places, cultures, and experiences. Documenting my adventures and learning from different perspectives.
Gaming
Enjoying strategy games, puzzle games, and exploring virtual worlds. Great way to relax and unwind.
No blog posts available at the moment.