Hello, this is Daniel!

I'm now working full-time at IBM, and studying Supply Chain Management (part-time) at the National University of Singapore.

To offer more value to both my current and future employers, I am actively teaching myself programming and data anlytics.

As such, I am focused on creating Python-related projects to bring value to different aspects of the supply chain, such as optimization, analytics, forecasting, etc.

If you have stumbled upon this GitHub page, let's connect at LinkedIn.

Daniel Woo's Projects

data-visualisations-with-r

Performed a set of basic visualisations (bar chart, scatterplot, and pie chart) on sales data, using R-programming and ggplot.

dwoo-work

Config files for my GitHub profile.

linear-regression-forecast

Perform Linear Regression Forecast (LRF) on sales data, to predict future sales values based on the past (WIP)

linearregressionanalysis

Perform linear regression analysis on sales data to understand the relationship between demand and price.

multi-criteria-abc-segmentation

Implemented supply chain management scripting to optimize inventory classification and supplier management processes through the use of ABC segmentation and Kraljic Matrix.

recencyanalysis

Perform recency analysis on sales data to identify the frequency of each customer's order.

time-series-demand-forecasting

Developed a data analysis script to perform demand forecasting, improving supply chain efficiency by utilizing the ARIMA and the Exponential Smoothing models.

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