Rosa Lopez

About Me

I am a data scientist with a background in chemistry and computer systems engineering. My professional goal is to apply data science and artificial intelligence techniques for natural, environmental, health and educational sciences. I consider myself a person in constant learning.

What I Do

These are the areas I truly enjoy working in.

Data Science

As a Data Analyst / Data Scientist, I have experience collaborating with clients to define business requirements and create data-driven solutions. I specialize in data preparation, exploratory analysis (EDA), and visualization using Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly). Also, I have experience in SQL databases and BI tools like Tableau, Power BI, and Looker to transform data into actionable insights. Additionally, I am exploring the application of Machine Learning (ML) and Artificial Intelligence (AI) techniques.

Python Programming and Web Development

As a Python Programmer and Web Developer, I specialize in building dynamic web applications using Django and Flask, with a focus on interactive data visualizations using Plotly and Bokeh.

My services include developing custom apps, data dashboards and web-based data applications. I am exploring the creation of Artificial Intelligence (AI) applications that integrate into web solutions.

Research and Writing

With a background in chemistry and computer systems engineering, I have experience in both scientific and technical writing and science communication. I specialize in creating clear, concise, and well-researched content that bridges complex technical concepts with a broad audience.

I have a strong interest in researching the applications of Artificial Intelligence and IoT in fields such as biology, chemistry, environmental science, and education.

Portfolio

Below is a selection of personal projects I’ve worked on my free time.

Python - NLP - Twitter Sentiment Analysis (In Progress)

Classification of tweets (negative or positive) from a twitter sample using logistic regression

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Flask - Weather App

Weather App using Flask framwork, OpenWeatherMap API and bootstrap.

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Python - Remote Work & Mental Health

Exploratory Data Analysis of the impact of remote work on mental health of individuals across various demographics. The dataset includes key metrics such as job satisfaction, anxiety levels, and work-life balance. Exploratory data analysis was performed using Pandas and Plotly.

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Python - Water potability Exploratory Data Analysis (EDA)

The dataset analyzed includes water quality metrics for 3276 different water bodies: pH, hardness, solids, cloramines, sulfates, conductivity, organic carbon, trihalomethanes, turbidity and potability. Exploratory data analysis was performed using Pandas and Seaborn.

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Tableau - World staple food crops (2000 - 2021)

The dataset analyzed was about the global staple food crop production. Data was obtained from the FAO (2023) website. Exploratory data analysis (EDA) and data visualization were done using Tableau.

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Tableau - E-Commerce Revenue UK retailer

This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. The company mainly sells unique all-occasion gifts. Exploratory data analysis (EDA) and data visualization were done using Tableau

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SQL and Power BI - Exploratory Data Analysis (EDA) of US Breweries

Dataset of US breweries. Includes: Number of barrels, costs, number of employees, etc. Exploratory data analysis was performed using SQL and visualization was done using Power BI.

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Looker Studio Data Studio - Google Ads

Google Ads report Report for a company. The exploratory data analysis (EDA) was performed using google spreadsheet and visualization was done using Lokker/Google Data Studio.

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Contact

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