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trying it (TI)
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trying it (TI)
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Achievement: Pull Sharkx2

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DPFNeiland/README.md

Hi, I'm Rodrigo Neiland 👋

Data Science and Business undergraduate at ESPM, focused on building data-driven products and reliable backend systems.

I work at the intersection of Data Science, Data Engineering and Software Engineering, using data analysis, forecasting, APIs and automation to solve practical problems.

Highlights

  • 🥇 Datathon winner at ESPM with a demand forecasting and inventory optimization solution
  • 💻 Backend development with Java, Spring Boot, SQL and Docker
  • 📊 Experience with data pipelines, analytics and operational dashboards
  • 🧠 Competitive programming student, preparing for the Brazilian ICPC/Maratona SBC circuit
  • 🎓 Recognized as an Outstanding Student during both semesters of my first academic year

Selected Projects

Project Description Technologies
Demand Forecasting & Inventory Optimization Forecasting and inventory policy pipeline designed to improve service level while reducing average inventory capital. Python, pandas, NumPy, pytest
Service Price Prediction End-to-end pipeline for data ingestion, validation, temporal analysis and price prediction by service category. Python, pandas, scikit-learn, TimeSeriesSplit
Course Platform API Full-stack educational platform with authentication, subscriptions, gamification and role-based access control. Java, Spring Boot, PostgreSQL, Docker
Occupancy Monitoring Dashboard System for monitoring anonymous people-flow data, occupancy levels, peak hours and operational alerts. JavaScript, MySQL, Chart.js
Libras Technology Dictionary Accessible web dictionary for technology terms with explanations and demonstrations in Brazilian Sign Language. React, TypeScript, Vite
Competitive Programming Algorithms, data structures and solutions developed for OBI, Maratona SBC and online judges. Python, C++

Technical Focus

  • Data: Python, pandas, NumPy, data validation, forecasting and exploratory analysis
  • Backend: Java, Spring Boot, REST APIs, Spring Security, JPA and Maven
  • Databases: PostgreSQL, MySQL and relational modeling
  • Engineering: Docker, Git, GitHub Actions, automated testing and code review
  • Algorithms: Data structures, graph algorithms, dynamic programming and competitive programming

Currently Working On

  • Improving forecasting and inventory optimization models
  • Building reproducible data pipelines
  • Developing secure backend APIs
  • Training for Brazilian programming competitions

Contact

LinkedIn · GitHub

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  1. demand-forecasting-inventory-optimization demand-forecasting-inventory-optimization Public

    Datathon-winning demand forecasting and inventory optimization pipeline that simulates replenishment policies to improve service levels and reduce inventory capital across products and stores.

    Python 1

  2. ihagonunes/ml-price-prediction ihagonunes/ml-price-prediction Public

    Python

  3. course-platform-api course-platform-api Public

    Spring Boot REST API for an online course platform, featuring role-based authentication, course management, relational database integration, and Dockerized deployment.

    Java 3

  4. tech-espm/inter-3sem-2026-ananditos tech-espm/inter-3sem-2026-ananditos Public

    Sistema de gestão e monitoramento de ocupação

    JavaScript

  5. siteLibrasESPM siteLibrasESPM Public

    Accessible technology glossary in Brazilian Sign Language (Libras), built with React and TypeScript, featuring search, categories, visual definitions and video demonstrations.

    TypeScript

  6. competitive-programming competitive-programming Public

    Algorithms, data structures, and competitive programming studies in multiple languages.

    Python