👋 Hello, I am
João Vitor Bruschi Data Analyst & Data Scientist · Computer Science student @ UNISAGRADO · Specializing in Data Science and Cybersec Enthusiast
About Hi, I'm João. I'm a professional Data Analyst & Data Scientist with interests spanning modern analytics, machine learning, and computational neuroscience. I enjoy turning data into decisions, building robust pipelines, and communicating insights clearly.
Tech Stack C++ Astro Python Oracle .NET Node.js Java Snowflake Microsoft SQL Server MongoDB MySQL Figma NumPy Pandas Plotly PyTorch scikit-learn TensorFlow Matplotlib Git GitHub GitLab Arduino Power BI Skills aligned to my roles Here are my professional skills aligned with Data Analyst and Data Scientist roles:
Data Analyst Advanced SQL: joins, windows, CTEs, performance tuning basics Python for analysis and automation: Pandas, data cleaning, scripting Power BI: data modeling (star schemas), measures (DAX), interactive dashboards ETL/ELT: extracting from multiple sources, cleansing, and documenting lineage Excel expert use: Power Query, PivotTables, advanced formulas, QA checks Process automation: Power Automate and Python to reduce manual work Stakeholder communication: KPIs, storytelling, and clear documentation Data Scientist ML with Python (scikit-learn), feature engineering, model evaluation Deep learning where applicable (PyTorch or TensorFlow/Keras) NLP/LLM fundamentals (text pipelines, embeddings, retrieval) Experimentation & statistics (A/B testing, causal basics) MLOps (packaging, Docker, MLflow/DVC, CI/CD, monitoring) Data pipelines & orchestration (Airflow/Prefect) Cloud ML services (AWS SageMaker, GCP Vertex AI, Azure ML) Responsible AI, security, and privacy considerations Communication of insights to technical & non-technical audiences
Experience Data Analysis Intern Paschoalotto
Sending mass WhatsApp messages, increasing client communication efficiency by 85%. Development and maintenance of Excel databases, ensuring organization and reliability of information. Enhancement of analytical thinking, supporting data-driven strategic decision-making. Maintenance and updating of user records in the company system, keeping error and inconsistency rates at 15%. Assistance in creating R and SQL automations, streamlining internal processes and increasing productivity by 20%. Support in the development of websites and applications using Python, HTML, CSS, and JavaScript. Development of innovative and automated Power BI dashboards for clear and effective insights. Analysis and modeling of data extracted from company databases, ensuring accuracy and relevance. Maintenance of internal team controls using Excel and Power BI, improving monitoring efficiency by 40%. Continuous support to internal departments with data-driven solutions. Extraction/filtering of database information and creation of Python automations, increasing efficiency by 60%. Data extraction and cleansing from multiple sources, ensuring consistency and reliability. Creation and maintenance of Power BI reports and dashboards for performance monitoring. Support in data modeling and database organization for analysis. Assisting business areas in interpreting information and visualizing scenarios. Support in strategic planning through analyses and reports for internal projects. Engagement in continuous improvement initiatives focusing on BI process efficiency and innovation. Data modeling for Power BI, designing optimized models for decision-making. Development of interactive dashboards and reports with real-time insights. Creation of KPIs and performance monitoring to identify trends and opportunities. Automations with Power Automate, reducing development time for analyses by 75%–98%. Support in strategic planning aligned to sustainable growth. Transformation of raw data into actionable insights for better decisions. Participation in projects fostering innovation and optimization of results.
Education Bachelor's Degree in Computer Science UNISAGRADO · Jan 2024 – Dec 2026
Bachelor's Degree in Chemical Engineering (transferred) UNISAGRADO · 2021 – 2023
Undergraduate program interrupted for transfer to Computer Science.
Projects Real-time LIBRAS (Brazilian Sign Language) translation system that converts hand signs captured by webcam into text and audio. The system recognizes the LIBRAS alphabet using computer vision.
Python OpenCV MediaPipe Machine Learning Complete NLP pipeline to classify song lyrics by genre, mood, or theme. Trained with TF-IDF + Naive Bayes (baseline).
Python NLP scikit-learn TF-IDF Naive Bayes Interactive platform developed with Node.js and Astro, integrated with PokeAPI. PokeTeam allows users to consult the complete Pokédex and build their own Pokémon teams dynamically and interactively.
Astro Node.js JavaScript PokeAPI Accessible prosthetics project: CAD assets and basic control logic for low-cost prosthesis prototypes.
Bio-inspired numerical experiments and analysis.
Python NumPy Pandas Matplotlib Assistant app and tooling experiments.
More on GitHub: @moonlitrevery
