About Me

Joao Martire

I'm a Data Scientist with a background in Accounting Sciences and extensive experience in business management. Currently serving as an Assistant Manager at Andron Facilities Management, I've demonstrated my analytical capabilities by implementing data-driven solutions that have improved operational efficiency by 40%.

My approach combines technical expertise with business acumen, allowing me to translate complex data insights into actionable business strategies. I'm proficient in Python, Statistics, Machine Learning, and various data visualization tools, enabling me to build comprehensive data solutions that address real business challenges.

Technical Expertise

Data Engineering & Analytics

  • Python, SQL (MySQL, PostgreSQL, Snowflake, SQL Server)
  • ETL Pipeline Development
  • Data Warehousing & Database Management
  • Apache Airflow

Machine Learning & Statistics

  • Advanced Regression & Classification Models
  • Clustering & Time Series Analysis
  • Learning to Rank Algorithms
  • Scikit-learn, SciPy, Advanced Statistical Analysis

Visualization & Reporting

  • Power BI Dashboard Development
  • Matplotlib, Seaborn, Plotly
  • Streamlit Web Applications
  • Business Intelligence Solutions

Development & Cloud

  • Git & GitHub Version Control
  • AWS Cloud Services
  • API Development
  • Lean Analytics & Agile Methodologies

Professional Experience

Data Science Apprentice | Comunidade DS

Part of an intensive hands-on Data Science training program, where I've developed real-world solutions:

  • Developed a customer segmentation program using Clustering algorithms, projecting a 10% increase in purchase rates
  • Created ranking algorithms achieving 75% accuracy for top 50 potential customers
  • Built sales prediction models with 90% MAPE accuracy, enabling €5M in incremental monthly sales
  • Participated in a collaborative learning environment, working on end-to-end data science projects from problem definition to deployment

Assistant Manager | Andron Facilities Management

Drive operational excellence through data-driven management:

  • Developed and implemented evaluation methods resulting in 40% efficiency increase
  • Manage team of 20+ staff members, overseeing payroll, resource allocation, and training programs
  • Lead system optimization initiatives to minimize downtime and control costs

Data Science Projects

Rossmann Sales Forecast: AI-Powered Telegram Bot

Development of a regression model to predict sales for the next 6 weeks for Rossmann stores, enabling strategic renovation planning. The solution includes a Telegram bot for real-time sales predictions, allowing managers to make data-driven decisions about store renovations.

The project was successfully migrated to Render cloud platform, ensuring continuous availability and scalability of the service.

Technical Stack:

  • Python, Pandas, NumPy, Seaborn for data analysis
  • Advanced Regression Algorithms and Time Series Analysis
  • FLASK API for backend services
  • Render Cloud Platform for deployment
  • Telegram Bot API for user interface
  • Git/GitHub for version control

Development of a Management Panel for business with Streamlit

In this project, the concepts of Python programming, data manipulation, strategic thinking, business logic, and web development tools such as Streamlit and GitHub were used to develop a management panel with the main metrics of a marketplace company of restaurants around the world.

The project's final result was a panel hosted in a Cloud environment and made available through a web link. The dashboard can be accessed from any device connected to the internet.

The tools used were:

  • Python
  • Jupyter Lab
  • Jupyter Notebook
  • Terminal
  • Streamlit
  • Streamlit Cloud
  • GitHub

Curry Company Growth Dashboard

Developed a comprehensive growth monitoring dashboard for tracking key metrics of both Delivery Partners and Restaurants. The dashboard provides multiple views including company-wide metrics, weekly growth indicators, and geographical insights.

Key Features:

  • Company Overview: General behavior metrics and KPIs
  • Tactical View: Weekly growth indicators
  • Geographical Insights: Location-based analysis
  • Delivery Partner Analytics: Weekly performance metrics
  • Restaurant Growth Tracking: Weekly restaurant performance indicators

Tudo Aqui E-commerce Product Intelligence Dashboard

Developed a comprehensive Power BI dashboard for a Brazilian e-commerce company to transform intuitive decision-making into data-driven insights. The project focused on creating a Product Overview Dashboard with key metrics to support strategic business decisions.

Key Project Highlights:

  • Total Number of Registered Products Analysis
  • Category Distribution Insights
  • Product Image Inventory
  • Interactive Category Filtering

Technical Approach:

  • Power BI Desktop for dashboard development
  • Data Cleaning & Transformation using Power Query
  • Interactive Visualization Techniques