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jgp-13/README.md

👋 Hello, I'm Josué

About Me

I’m a Data Analyst and Data Scientist with a passion for transforming raw data into clear, compelling insights. With a strong foundation in data wrangling, visualisation, and interpretation, I help organisations make smarter, data-informed decisions.

🎯 Core Expertise – Data Analysis

  • Data Exploration & Cleaning: Skilled in transforming messy datasets into analysis-ready formats using Python (pandas, NumPy) and SQL
  • Insight Generation: Drawing out trends, patterns, and actionable insights through data storytelling and visual techniques
  • Data Visualisation: Creating clear and interactive visualisations with Tableau, Matplotlib, and Seaborn
  • SQL & Relational Databases: Writing complex queries for extraction, transformation, and analysis in PostgreSQL
  • Business Intelligence: Experienced in delivering dashboards and performance metrics for stakeholder reporting
  • Certifications: DataCamp-certified in Data Analysis with Python and SQL
  • Learning Pathways: Completed tracks in Python, SQL, and Tableau on DataCamp

🧠 Expanding Expertise – Data Science Skills

  • Machine Learning: Building models for classification, regression, and clustering with scikit-learn
  • Statistical Thinking: Applying hypothesis testing, A/B testing, and statistical inference to real-world problems
  • Feature Engineering: Creating meaningful variables to improve model outcomes and explainability
  • Model Evaluation: Understanding and applying metrics like precision, recall, F1-score, and ROC-AUC
  • Data Preparation for Modelling: Effective pipeline creation and use of techniques such as encoding, scaling, and imputation
  • Experiment Design: Designing experiments and analysing outcomes to drive decision-making

🌱 Current Focus

I'm actively building my data portfolio here on GitHub with projects that reflect both analytical rigour and visual storytelling. My current areas of focus include:

  • Data cleaning and preprocessing
  • Exploratory data analysis (EDA)
  • Interactive dashboards in Tableau
  • Experimentation and predictive modelling
  • Machine learning applications using Python and scikit-learn

💡 Open to Collaboration

I’m always open to collaborating on data-driven projects, particularly in the areas of data analysis, visualisation, and model development. Let’s create insights that matter.

📫 Get in Touch

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  1. kaggle-data-cleaning-challenge kaggle-data-cleaning-challenge Public

    Kaggle Data Cleaning Challenge: A series of Jupyter notebooks from the Kaggle challenge, covering tasks such as handling missing values, scaling data, parsing dates, and fixing inconsistencies. The…

    Jupyter Notebook

  2. SpaceX_project SpaceX_project Public

    I enhanced the original notebook files by refining the SpaceX launch models used to predict the outcomes of a fictitious mission. This project is part of the capstone project of the IBM Data Scienc…

    Jupyter Notebook

  3. Superstore_Sales_Data Superstore_Sales_Data Public

    A comprehensive data cleaning and visualization project using Python, showcasing the transformation of raw sales data into actionable insights.

    Jupyter Notebook

  4. Analyzing_US_Census_Data_in_Python Analyzing_US_Census_Data_in_Python Public

    Census Analysis Project: This project examines U.S. demographic trends and segregation patterns using census data and geographic visualisations. It focuses on Brooklyn census tracts and state-level…

    Jupyter Notebook