Salatiel D.
Data Scientist

Skills

Python

Salatiel is available for hire

All Howdy Candidates are vetted for skills and english proficiency.

Bio

Data Science Specialist with four years of experience in Data Analysis and Data Analytics. Expertise encompasses diverse sectors, including precision agriculture, healthcare, e-commerce, IVR systems, and self-service channels. Possesses strong capabilities in Exploratory Data Analysis, Unsupervised Learning, Google Analytics, Google Tag Manager, as well as programming skills in Python and R. Dedicated to transforming data into actionable insights through the rigorous application of scientific methodologies.

Data & Data Specialist
12/1/2021 - Present

Conducted a comprehensive study on IVR journeys and self-service channels utilizing PySpark. Applied Exploratory Data Analysis (EDA) techniques with both Python and R to uncover insights. Employed various unsupervised learning algorithms, such as non-hierarchical and hierarchical clustering, as well as factorial and linear regression. Followed the CRISP-DM Methodology to ensure best practices in Data Science were maintained throughout projects. Leveraged the Google ecosystem, including Google Cloud Platform (GCP), Google Analytics, and Google Tag Manager, for advanced Digital Analytics in both web and responsive applications. Developed Key Performance Indicators (KPIs) and metrics to enhance self-service channels. Applied Data Visualization Techniques to create dashboards, facilitating effective business monitoring.

Skills developed include proficiency in Google Cloud Platform (GCP), Spark, Google Analytics, Google Tag Manager, and Google Data Studio. Expertly managed unsupervised learning methods and applied advanced data visualization techniques for reporting and analysis.
Data Scientist|Data Analyst
1/1/2020 - 12/1/2021

Analyzed user journeys using Sankey diagrams and graphs in R and Python. Applied unsupervised algorithms to transactional data in Python and R. Managed workflows for planning and installing tags across HML, SIT, and PROD environments. Constructed metrics for ecommerce and self-service channels. Implemented data visualization techniques in Google Data Studio. Leveraged the Google ecosystem, including GCP, GA, and DS, for tagging application features. Demonstrated technical proficiency in Google Cloud Platform (GCP), Spark, Google Analytics, and Google Tag Manager. Applied knowledge in unsupervised learning, including non-hierarchical and hierarchical clustering, as well as factorial and linear regression.
Data Scientist Freelancer
6/1/2018 - 6/1/2019

Specialized in implementing algorithms for image processing aimed at plant group profiling. Developed strong proficiency in using OpenCV for image analysis and processing. Applied Support Vector Machine (SVM) techniques and utilized Histogram of Oriented Gradients for feature extraction and classification tasks. Demonstrated expertise in Python and R programming languages to develop, test, and deploy complex algorithms efficiently.

Bachelor of Biological Sciences at Santa Cruz State University
2007 - 2011
MBA in Data Science at Esalq/USP
2021 - 2025
Biology and Biotechnology of Microorganisms at Santa Cruz State University
2011 - 2013