Industry Attachment Project - This project was my university industry attachment with TSH Synergy PTE LTD in conjunction with university modules: Data and Business Analytics. By creating a Business Intelligence Dashboard and Data Analysis to expedite the identification of possible bottlenecks.
Project Goal
The goal of this industry attachment project with TSH Synergy PTE LTD was to expedite and improve visibility of manufacturing and delivery bottlenecks with a Business Intelligence Dashboard. In Addition, the company wanted us to create a forecasting model to predict late deliveries, therefore allowing them to flag the delivery.
Project Deliverables
- Designed a data cleaning algorithm in Python from queried joined data with SQL.
- Developed a late delivery prediction model with utilising Multiple Linear and Logistics Regression Model with R.
- Expedited identification of delivery bottlenecks with dashboard with Microsoft PowerBI.
Recognition - Testimonial
At the end of the project, I was privilege to received a testimonial letter from the company operations director for the insights that was generated from this project. The link to my testimonial is here.
Project Poster
NDA Restrictions
Due to Non-Disclosure Agreement(NDA) signed with the company, these are the limited information that I’ve been allowed to put in my personal portfolio.