tools for collecting, compressing, and using a space-efficient columnar data format based on a document model (bson) and designed for timeseries data.

Get boundaries between recent timeframes

A backend-for-frontend REST API which gathers and serves prometheus metrics from other services.

The project aims to develop a mobile application using accelerometer data for time series analysis to detect heavy drinking patterns, prioritizing user privacy and data security. The goal is to provide insights into drinking habits, promote responsible consumption, and enable early intervention for alcohol-related harm.

High-level lib for reading and writing physiological data into mef file format using python wrapper pymef for meflib.

Apply SARIMA model to predict the numbers of tourist visiting Brazil in the future 12 months

An EncoderTransformer Architecture developed from scratch using pytorch's neural network module as the base class. The developed model used for sentiment analysis and time series prediction tasks.

Predicting Monthly Sales of Perrin Freres Champagne by ARIMA & SARIMAX model.

Import and export data into/from InfluxDB.

Capstone project for Galvanize Data Science Immersive Program

Revision Analysis Tool initiated by Eurostat

Forecasting footsteps in Walmart from previous years available timeseries data and predict on new years data.

example of a take-home data science problem. Covering pandas, time series, handing null values, and building a classification model

EDA performed on timeseries data and different plots to get insights from data visualizations

A custom CMS, built on CodeIgnitor3, for tracking energy generation and consumption in an off-grid house.

This is a time series project that seeks to predict sales of the Favourita company.

Time series data forecasting

This is our final project for Data Science and Applications Course

Experiment to record as much data as possible in a given amount of time using a distributed timeseries database.