We’re Ai Palette. We think the world would be a nicer place to be if food companies could create products that the consumers really want. So we’re making it happen. After a successful 1.5 million SGD seed round in 2019, we have scaled fast in the market having Fortune 500 companies and FMCG brands as our clients. We’re already covering the major markets in APAC and the USA. We want to be the most preferred Food AI company in the world.
Internship Project :
Analyse Consumer Conversations for Recommendations in FMCG Sector
Project Description and Objectives:
The objective of this project is to understand the consumer sentiment for a given topic in the FMCG sector and generate engagement materials (ads, product concepts, etc.) to increase consumer engagement for a given topic.
In order to identify a consumer conversation precisely, we need to understand the semantics in the conversation, detect entities and topics, and understand the sentiment of those topics. Once these are being identified, we need to create conversation materials such as ads, tag lines, product concepts that are closer to the consumer conversations. We need to do this at scale to keep up with the fast-changing consumer world today. This is challenging because of the multiple languages spoken in different regions.
Roles and Responsibilities:
Sub Project 1 : Building multilingual sentiment analysis models to process food and beverage data
Responsibilities
1. Research on state of the art sentiment models particular to FnB sector
2. Collect and analyse relevant open data sources
3. Use the internal team and internal data to enrich external data
4. Build and validate sentiment models (for Korean, Spanish, French) together with Marketing and Business team
5. Deploy validated models on AWS platform together with DevOps team
Sub Project 2: NLP model for information retrieval
Responsibilities
1. Research on state of the art NLP models (NER) particular to FnB sector
2. Collect and analyse relevant open data sources
3. Work with external labelling agency to get the right training data
4. Build and validate NLP models (for English and Chinese) together with Marketing and Business team
5. Deploy validated models on AWS platform together with DevOps team
Preferred Skills:
Algorithms
Python
Machine learning frameworks such as sci-kit learn, keras, tensorflow
Good to have:
Natural language processing
Docker/Kubernetes
Deep learning
Mentor:
Kasun Perera : https://www.linkedin.com/in/kasunsp/
Former Mentee Feedbacks:
[1] https://medium.com/geekculture/my-data-science-internship-the-start-up-experience-5af69abe4b43
[2] https://www.linkedin.com/pulse/eye-opening-experience-fintech-company-bryan-lim-yuqiang/
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