Field boundary mapping and crop classification
Corteva Agriscience™ has an exciting Remote Sensing internship opportunity at UIUC campus during Winter/Spring 2020.
Title of the Project: Ensembles for Demand Sensing
Project Goal:
a) Algorithms capable of building orthogonal ensembles for predicting units sold by product / district
b) Feature engineering around inventory-based features to detect supply constraints
Background and Motivation:
The business analytics team within DSI is currently leading the Demand Sensing initiative. The DSI team builds the analytical foundation behind this which maintains our customer focus while decreasing inventory write downs. The project will focus on key elements of the initiative around building a repository of models and coming up with different/orthogonal features. As is, this initiative is one of the highest impact/visibility initiatives at Corteva.
Project Description:
Intern will engage in the research and development of algorithms that can forecast unit sales as a function of product attributed and previous sales history. The interns will advance earlier solutions; help build relevant features around inventory and understand the impact of product pricing on demand. The eventual goal is to reduce product write-downs by giving reps and product life cycle managers a data driven tool to better estimate the unit sales by product.
Deliverable(s) and Impact:
- What will be delivered at the end of the project:
- A new set of models/ensembles to predict unit demand
- Additional features around inventory
- Understanding the impact of pricing on unit demand
Our initiative is cross-enterprise with multiple stake-holders and users including platform leadership. We have an ambitious target of saving the company about 100 MM mainly due to operational effectiveness and product write-downs. If we are able to achieve that, it will lead to significant improvement in ROIC and will have the potential to change the course of our business.
Skill set of the desired candidate:
- Experience with Python programming stack is required, as demonstrated by course work, projects (personal or otherwise), previous internships, etc.
- Some knowledge of econometrics and price/qty relationships preferred but not required
Reply to and send resume to Lisa Brooks: Lisa.DunganBrooks@corteva.com reference the position title in your response of interest to this posting. Your resume will be forwarded to the proper hiring team for consideration.