Hi, I'm Juliana Lima

Data Analyst

Using data analysis and visualization to help you make smarter and more informed business decisions.

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About Me

Data Analyst

Results-driven and committed Brazilian Data Analyst with statistics, data modeling, and data visualization expertise. Possess a solid theoretical basis highlighted by a Computer Information Systems degree and a Data Analysis and Visualization certificate. Proven ability to tackle complex challenges, excel in team environments, and leverage administrative knowledge from a Business Administration degree. In previous projects, exhibited solid knowledge of Python and Pandas library when developing a script utilizing Splinter and BeautifulSoup for web scraping to extract titles and preview text from a Mars news website. Excellent communication, analytical, and time-management skills. Fluent in English and Portuguese.

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My Journey

Education

2023

Certificate, Data Analytics

University of California Berkeley - Berkeley, CA

2022 - 2023

Associate Degree, Computer Information System

Berkeley City College - Berkeley, CA

2015 - 2017

Bachelor of Business Administration

Pontificia Catholic University of Campinas - Campinas, SP, Brazil

Experience

2022 - 2023

Peer Advisor

Berkeley City College, Berkeley, CA

2016 - 2017

Secretary/administrative assistant

City Hall of Campinas, SP, Brazil

2014 - 2016

Financial Analyst

Zott Real Estate, Campinas, SP, Brazil

My Skills

HTML

CSS

JavaScript

Python

C + +

Pandas

Jupyter Notebook

SQL

Tableau

Latest Project

Mars News Scraping Tool

This project is a Python script that demonstrates web scraping using the Splinter and BeautifulSoup libraries. The goal of the script is to scrape the titles and preview text from a Mars news website.

Hawaiian Weather API Explorer

The purpose of this project is to analyze and explore weather data for Hawaii stored in an SQLite database and create a Flask web application to provide API endpoints for accessing the weather data.

Biodiversity Dashboard

This project creates an interactive dashboard using D3 and Plotly libraries in JavaScript to explore the "Belly Button Biodiversity".


Neural Network

Overview of the Analysis: The purpose of this analysis is to create a deep learning neural network model to predict the success of charitable organizations funded by Alphabet Soup. Alphabet Soup is interested in optimizing their donation allocation process, and one way to achieve this is by identifying which charitable organizations are likely to be successful after receiving funding. To accomplish this, I have used a dataset containing various features related to charitable organizations, such as application type, affiliation, and income amount, to build and evaluate a binary classification model.

CryptoClustering using K-Means

This repository contains code for clustering cryptocurrencies based on their market performance data. The data includes various price change percentages for different holding periods. The primary goal is to group cryptocurrencies with similar price trends and behaviors into clusters.

NoSQL Challenge

This project involves working with UK Food Standards Agency's food hygiene ratings data. The goal is to assist "Eat Safe, Love" magazine by analyzing and manipulating ratings data to select establishments for articles.

Contact Me!

Let's work Together

Feel free to contact me for any questions, I look forward to working with you!

  • julianadvl@outlook.com
  • (510)417-0569