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melisadigiacomo/README.md

Portfolio

👋 Hello everyone!

🇦🇷 My name is Melisa Di Giacomo and I am from Argentina. I have a job as a BI analyst working on Qlik. I have a MSc in Biotechnology and a PhD at the Universidad Nacional de Rosario.

💻 My areas of strength include data visualization and data analysis. I have skills in R, Python, SQL and spreadsheets to extract insights from complex datasets, and also in using Looker, PowerBI and Tableau to create visually compelling and interactive dashboards. I am now gaining experience in Qlik in my new job.

❤️ I am passionate about data viz. It is a fact that the right charts and reports make a huge impact on decision making and future results. I like to think myself as a designer of information. Recently I have developed an R data viz cheatsheet website where I described and shared R codes of more than 30 types of plots. I participated in the Twitter #30daychartchallenge where I built 30 charts using different datasets each day and a variety of tools.

🌐 I took my first steps in the Full Stack Web Dev </>. As a final project of a bootcamp I've developed my web portfolio from scratch using plain HTML, CSS and JS, showcasing my skills in data visualization on the web.

💫 I am always learning something!

Portfolio_Photo (1)


Find me at:

LinkedIn ResearchGate GitHub ORDIC Twitter


Skills:

Qlik  R  Python  MySQL  Microsoft Office  PowerBI  Tableau  Looker 
GIT  GitHub  HTML  CSS3  JavaScript  Bootstrap 
JupyterNotebooks  RMarkdown  Visual_Studio_Code 

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Some of my projects: overview

HTMLCSS3JavaScript

Developed my web portfolio.

melisaportfolio


R

A variety of charts with a simple R code.

Rdatavizcheatsheet


R Python PowerBI

Using different datasets each day and a variety of tools, I built 30 charts to complete the challenge.

contributions


Python  MySQL  Looker 

Project of big data course: Google Data Studio, Python and SQL Data Analysis

bigdata


Tableau  Python 

Netflix data Analysis; data cleaning coding in Python and final data visualization on a Tableau dashboard.

tabelaudashboard


Python

Tool that scrapes data from Yahoo Finance from a specific period of time (datetime and pandas) and analyzes active stocks of popular companies and stock market crashes on plots using plotly.

Stocks


Python JupyterNotebooks

Report that analyzes cases and deaths attributed to COVID-19 since January, 2020.

covid


Python JupyterNotebooks

Text mining of book. Functions to tokenize (NLTK), manipulate text and build plots (matplotlib). Sentiment analysis (textblob).

SentimentAnalysis


Pinned Loading

  1. tweets_wordcloud tweets_wordcloud Public

    Twitter API scraping. Text mining. Wordcloud.

    R

  2. SetAnalysis SetAnalysis Public

    Differences between Venn and Upset diagrams.

    HTML

  3. bookanalysis bookanalysis Public

    Text mining of book. Functions to tokenize (NLTK), manipulate text and build plots (matplotlib). Sentiment analysis (textblob).

    Jupyter Notebook 1

  4. plotevolution plotevolution Public

    Display, step by step, how to make a better data visualization using ggplot2 and ggpubr packages.

    R

  5. webdev webdev Public

    My first steps in the Full Stack Web Dev

    CSS

  6. dataviz-plotly dataviz-plotly Public

    Data analysis of gapminder dataset. Data visualization using plotly.

    Jupyter Notebook