Personal details

Elisa V.

Based in: 🇧🇷 Brazil

Timezone: Brasilia (UTC-3)

Available to work these hours in your timezone: 12 PM - 9 PM

Technical skills

Top 3 skills

SQL・2 yrs Python・2 yrs

Other skills

Machine learning・3 yrs Databricks・1 yr Power BI・2 yrs R・3 yrs Git・3 yrs LaTeX・2 yrs Data Science・2 yrs Data analytics・2 yrs Markdown・3 yrs Microsoft Word・10 yrs Canva・5 yrs Inkscape・7 yrs Trello・5 yrs Discord Bot・2 yrs Discord Servers・5 yrs

About

Hi! I'm a Machine Learning Engineer with 2+ years of experience in creating deep-dive and root-cause analyses of any kind of data, training and deploying machine learning models and automating processes.

I've worked with Python, R, SQL, PowerBI, Pyspark and Databricks and also have experience as a Data Scientist. I've developed many predictive models with techniques like forecasting, classification, clusterization, and regression and also built language models using NLP.

Main skills

Languages: Python, R, SQL, git, DAX, Markdown
Frameworks/Libs: Pandas, Numpy, Matplotlib, Scikit-Learn,Streamlit,BeatifulSoup, statsmodels, statsforecast, quanteda, dplyr, tidyr, etc.
Tools: PowerBI, PowerAutomate, Airflow

Work Experience

Senior Data Analyst

Dell Technologies | Nov 2022 - Present

Python

SQL

Machine learning

Statistics

OLAP

HiveQL

Power BI

Airflow

Microsoft Power Automate

• Queried and extracted high volumes of data from Hadoop (Hive and Impala) • Identified, analyzed and interpreted trends in data sets – Python, SQL, OLAP Cubes • Analyzed usage and adoption of features released on Salesforce applications • Created and maintain dashboards and reports – PowerBi, OLAP Cubes • Automated analysis and quality control warnings • Created a clusterization analysis of Users – Python • Created a Bot detection algorithm – Python • Created a recommendation system for articles that provide instructions to solve user issues – Python

Researcher (PhD level)

University of Campinas (Unicamp) | Mar 2019 - Present

Python

Git

GitHub

Statistics

• Processing visualizing and interpreting data – R • Analyzing data with statistical methods – R • Designing machine learning models – Python • Creating pipelines and scripts with R for data analysis – R and GitHub • Training lab staff for the R language use • Writing scientific papers • Developing a Text Prediction Project - Data Science Specialization

Education

University of Campinas

Master's degree・Plant Metabolomics and Computational Biology

Feb 2013 - Jul 2023

University of Campinas

Master's degree・Plant Metabolomics

Feb 2017 - Jan 2019

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