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KevinSigcho/README.md

Hi there 👋

I am Kevin Marcelo Sigcho Villacís, a data-driven business consultant specializing in SQL queries and Python ETL processes.

🔭 I’m currently working on

  • Developing end-to-end solutions and data mapping with Python ETL at NTT DATA Europe & Latam.
  • Creating interactive dashboards and analyzing KPIs using Power BI.
  • Automating business processes with Python and Power Automate.

🌱 I’m currently learning

  • Advanced techniques in data visualization and machine learning.
  • Enhancing my skills in cloud data solutions with Snowflake.

👯 I’m looking to collaborate on

  • Data analytics projects that require robust SQL querying and Python ETL processes.
  • Business intelligence solutions that leverage Power BI for impactful decision-making.

🤔 I’m looking for help with

  • Innovative ways to automate data processes and improve data accuracy.
  • Best practices in integrating various data sources seamlessly.

💬 Ask me about

  • SQL query optimization and ETL process development.
  • Creating efficient and interactive business intelligence dashboards.

📫 How to reach me

😄 Pronouns

  • He/Him

⚡ Fun fact

  • I enjoy teaching mathematics, chemistry, and physics, and have a background in scientific research focusing on the synthesis and analysis of inorganic materials.

Skills

  • Programming Languages: Python, SQL
  • Data Tools: Power BI, Snowflake Cloud, PostgreSQL
  • Processes: ETL, Data Automation

Certifications

  • Plan de Socorros y Emergencias
  • Machine Learning y Data Science con Python
  • The Data Science Course Complete Data Science Bootcamp
  • Data Mining Business Intelligence
  • Redacción de Textos Científicos con LaTeX

Publications

  • Novel Insights in the Magnetic Behavior of Non-Stoichiometric LaMnO3+δ Nanoparticles

Pinned Loading

  1. Hotel-Data-Analysis-SQL-PowerBI Hotel-Data-Analysis-SQL-PowerBI Public

    I have developed a data analysis project with SQL and Power BI with Hotel dataset

  2. Python-Customer-Segmentation-and-Clustering Python-Customer-Segmentation-and-Clustering Public

    Unsepervised Machine Learning Project using KMeans to find the univariate, bivariate and multivariate clusters.

    HTML

  3. Theano-model Theano-model Public

    Theano para obtener los parámetros w_0 y w_1 del siguiente modelo: 𝑦=𝑙𝑜𝑔(1+𝑤0|𝑥|)+𝑤1𝑥 y = l o g ( 1 + w 0 | x | ) + w 1 x

    HTML

  4. Exploratory-Data-Analysis Exploratory-Data-Analysis Public

    Exploratory Data Analysis about Credit Approval dataset