Grupo Bimbo inventory demand Kaggle competition

In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were s…

In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were s…

Atom syntax highlighting for GISDK scripts

An exploration of demand analysis and prediction

📘LBF presentation on demand forecasting models

Minimize forecast errors by developing an advanced booking model using Python

Predicting bike sharing demand patterns with a feed-forward neural network implemented in raw NumPy.

Food Demand Forecasting Challenge

Model ogólny mobilności miejskiej dla miast małych i średnich - do celów dydaktycznych, badawczych i innych (c) Rafal Kucharski, Politechnika Krakowska, 2018

Demand pattern recognition using k-means algorithm in Python

The final project for Stanford Continuing Studies course BUS 150 W "Financial Modeling and Business Decisions" by Iddo Hadar, Summer 2017. This online course provides students with the methods and the mindset to make complex financial and economic decisions, by framing them as analytical models and using Microsoft Excel spreadsheets to solve them.

Problem Statement for Bounce Hackathon 1.0

Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management during the Trends Marketplace event to professors, alumni and working professionals from various companies.

Forecasting Food Sales in a Multiplex Using Dynamic Artificial Neural Networks

Discussed various methodologies that may help while implementing Time Series

Demand Forecasting through SARIMA and Winter Holt's Methods

Bike share demand : Forecast city bikeshare demand with prophet