Data Analyst

Taux horaire: membres seulement

Disponibilité: membres seulement

Disponibilité à voyager: Partout dans le monde

Statut professionnel: Pigiste

Dernière mise à jour: 28 mars 2025

Expérience de travail totale: 1 année(s)

Connaissances linguistiques: Mandarin, Anglais,

Sommaire professionel

Education: Springboard Data Science Career Track Data Science - Python, Data Wrangling, Statistical Methods, Machine Learning Work closely with a 1 on 1 mentor to complete the curriculum as well as 2 capstone projects. Capstone Project 1 - Taxi Tips - Project descriptionUse the characteristics of a taxi ride (ie trip time, distance, date etc.) to predict the tip amount. - Cleaned, wrangled, and explored taxi-cab data from OpenNYC and weather data from Wunderground to develop a model that would predict the tip amount a taxi ride generates. - Used sklearn to implement a random forest regression model. Capstone Project 2 - Pneumonia - Project descriptionUse a patients chest x-ray to predict whether or not they have pneumonia. - Sourced data from Kaggle to develop a deep learning model to classify chest x-rays as with or without pneumonia. - Used Keras/TensorFlow to create a neural network with convolution layers to process and classify the chest x-ray images. Queen's University BA Economics Skills: Machine Learning Data Visualization Deep Learning Data Modeling Statistics Data Analysis Extract, Transform, Load (ETL) Data Processing Tools & Technologies SQL Pandas (Software) Seaborn Keras TensorFlow Databases Tableau Applied Machine Learning NumPy Matplotlib Scikit-Learn Data Analytics Education: College/University in Other

Compétences