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velosoberti/README.md

Hello there, Wellcome I'm Luis a Data Scientist 💭

About Me

I am passionate about discovering new perspectives and solving complex problems with data. Currently, I am working as a BI Analyst, where I build dashboards and perform analytics daily. My focus is on delivering insightful and actionable data-driven solutions.

👨🏻‍💻 With over 3 years of experience in the data field, this repository showcases my skills and projects. I aim to demonstrate my proficiency and knowledge through the projects available here.

  • 🧑🏻‍💼 Current Role: BI Analyst
  • ✅ Daily Tasks: Building Dashboards, Performing Analytics
  • 💻 Passionate About: Coding, Exploring Data, Machine Learning

Projects Summary

  1. Projects on Diagnostic, Descriptive, and Predictive Data Analysis

    This repository contains projects focused on diagnostic, descriptive, and predictive data analysis. It includes projects related to the agricultural sector with descriptive analysis, the retail sector with diagnostic analysis, and the sales sector with churn analysis using random forest.

  2. Study Projects on Inferential Statistics and Machine Learning

    This repository contains three study projects: one on inferential statistics and probability, one on machine learning with practical activities in supervised and unsupervised learning, and a final project on forecasting. The purpose of this repository is to detail the main topics and tools used by a data scientist in Python.

  3. Power BI Projects

    This repository contains some of the Power BI projects I have developed. Among them are projects on company performance results, advertisement analysis, sales portfolio analysis, and digital marketing.

  4. R Studio Projects

    Here I present my projects developed in R Studio, mainly focused on using the tool for statistical and mathematical analyses. I highly recommend the projects in this link.

Key Skills

  • Data Analysis & Visualization: Excel, Power BI (storytelling and related)
  • Programming: Python, R
  • Data Management: SQL
  • Machine Learning: ML, Statistical Analysis, Forecasting (Learning Deep Learning)

What I Do

🔭 I leverage my expertise in Statistics and Machine Learning through various mini-projects aimed at exploring the complexity and diversity of data.

🔬 I also like to focus on the math behind models and tools to maximize efficiency and deliver powerful results.

🤓 Specialties: Probability, Estimation, Hypothesis Testing, Regression, Forecasting, Machine Learning, Debugging Error, Math

Technologies:

Luis-Python Luis-Postgr Luis-SQLServer Luis-SQL Luis-Matplotlib Luis-Numpy Luis-Scikit-Learn Luis-Pandas Luis-GGPlot Luis-TensorFlow

Contact Me

Pinned Loading

  1. DataScience_Guide DataScience_Guide Public

    Here I study every concept above statistic, machine learning and forecasting for Data Scientist

    Jupyter Notebook 1

  2. DataAnalytics DataAnalytics Public

    Here you will find my analytics work, diagnostic, preditive and EDA studies

    Jupyter Notebook

  3. Power-BI Power-BI Public

    Here tou will find my power BI work with details

    1

  4. creative_tests creative_tests Public

    Here is my creative ways to use the data science tools

    Jupyter Notebook