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hzoscar/README.md

Oscar Hernandez

Overview

I am a passionate data professional with a Master's degree in Data Science and strong problem-solving skills honed through my chess career. Passionate about leveraging machine learning and AI to deliver impactful, data-driven solutions in a collaborative environment. Multilingual in Spanish, Italian, and English (in progress)

Academic Background

- Bachelor's Degree in Economics

Escuela Colombiana de Ingeniería Julio Garavito

Built expertise in economics, mathematics, statistics, and data manipulation tools like Excel.

- Data Analyst Professional Program

Escuela Británica de Artes y Tecnología

A rigorous one-year program focusing on data analytics methodologies and tools.

- Data Science Boot Camp

Alura Latam

Practical training in data processing, machine learning, and data visualization.

- International Master's in Data Science

Rome Business School

Furthering my expertise in advanced data science techniques and applications.

Skills & Tools

Programming Languages & Libraries: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly). Data Visualization: Google Data Studio, Streamlit. Databases: SQL, PostgreSQL. Version Control: GitHub. Machine Learning: Hands-on project experience.

Projects

Personal Projects

  1. Global Chess Trends Explorer (PostgreSQL + Python + Streamlit)
    Analysis of the top 100 players from every nation. To see a preview of the app click here!

International Master in Data Science Project

  1. Customer Segmentation (Jupyter Notebook + Looker Studio)
    RFM analysis in conjunction with unsupervised clustering algorithms (KMeans).

Data Science Boot Camp Projects

  1. Trading Bot (Jupyter Notebook)
    Developed an automated trading bot using Python.

  2. Clustering Analysis (Jupyter Notebook)
    Implemented clustering techniques to group datasets effectively.

  3. Data Insider - Data Visualization (Jupyter Notebook)
    Created visualizations to derive insights from structured datasets.

Data Analytics Program Projects

  1. Exploratory Data Analysis (Jupyter Notebook)
    Conducted EDA to identify trends and outliers.

  2. Supermarket Sales Analysis (PostgreSQL)
    Leveraged SQL queries to analyze retail sales.

  3. Cloud Analytics in AWS (Looker Studio + AWS)
    Built dashboards for cloud-hosted data insights.

Contact

LinkedIn: Oscar Hernandez

The journey continues! 🔍✨

Popular repositories Loading

  1. alura-firstchallenge alura-firstchallenge Public

    This project is the result of completing the Alura course, where I learned how to code. The "Alura First Challenge" is the final project of the course. It is a web application that allows users to …

    JavaScript

  2. EBACMX-Data-Analytics-Course EBACMX-Data-Analytics-Course Public

    Welcome to my Data Analytics Course Repository! This repository contains a wealth of exercises, and 3 projects: - Exploratory data analysis using Python. - Data analysis using PostgreSQL for insigh…

    Jupyter Notebook

  3. hzoscar hzoscar Public

  4. ds_challenge_1_Trading_Bot ds_challenge_1_Trading_Bot Public

    This is the first project of the Alura Latam data science bootcamp in which a Python Trading Robot is developed, capable of making decisions to buy and sell Bitcoin in real time. The final decision…

    Jupyter Notebook

  5. ds_challenge_3_Clustering ds_challenge_3_Clustering Public

    This is the third project (part-1) of the Alura Latam data science bootcamp. In this project the k-means method is used to perform the clustering of the customers of a supermarket chain.

    Jupyter Notebook

  6. ds_challenge_2_Data_Insider ds_challenge_2_Data_Insider Public

    The primary objective was to produce a detailed report to objectively understand the behaviour of corporations by using mainly the previous nine editions of Forbes 2000. This involved merging datas…

    Jupyter Notebook