Juan Pablo Peña Arenales
data science | Machine Learning | Data Analytics | Research
Professional profile
Detailed Data Analyst well-versed in various statistical methods such as descriptive and influential statistics. Independent and versatile individual skillful in identifying data issues and monitoring existing metrics. Offering 7+ years of experience
Work experience
Expert researcher for the execution of the project: Application of Machine Learning for the development of tools that support the producer in the rapid diagnosis of agroecological conditions in coffee and cocoa crops in the department of Huila;. Training, evaluation and deployment of machine learning models, developed in python Deep Learning with AWS platform services: Sagemaker, S3, EC2, Lambda, RDS Postgresql, CloudWatch
Major achievement• Developed an Android application that allows the use of regular and thermal pictures of coffee and cocoa leaves taken from a cellphone to infer chlorophyll levels and thus help producers to make quick diagnostics about crop conditions. • Designed and tuned AWS cloud infrastructure with several being
Capstone project: Create a tool to help fight against sexual and gender-based crimes, and design potential mitigation strategies for reducing it, based on Bucaramangas police data.
Major achievementData analytics tool dashboard type.
Capstone Project: Train and deploy machine learning models to predict how long is a given employee likely to stay in a job place to help Benefit to offer loans conditions.
Major achievementModel developed.
Education experience
York university | Specialization
