ChicP creates a variety of hummus from surplus fruit and vegetables.
The range of 3 flavours are currently sold in a number of retail and food service outlets in and around London.
We are hoping to have a contract with a larger retailer mid way through this year and are looking to continue to grow our volume as quickly as possible in order to be able to work directly with British Farmers, using their surplus. To use their surplus vegetables, we need to be using large enough quantities of their vegetables to make it economically justifiable.
We also want to be using plastic pots that are from a circular economy (from recycled material that can be recycled again).
In this project, we want to work with a team who can identify key strategies for improving the digital footprint of ChicP through the distribution of meaningful cross-promoted, SEO-driven content. It would be very interesting to work with influencers, other brands, journalists/writers, and on content sites such as Medium, LinkedIn, etc. to increase engagement! Working with others, we can cross-promote our content and come up with fun and engaging campaigns that are mutually beneficial. This will help grow ChicP's social which will help us get on board with more customers.
In the course of this project you will research fields concerning content management, social media marketing & data analytics and deliver them back to students as curriculum chapters which you will write and update using Markdown and Git.
We want to understand how to make our data collection process more intelligent, which variables we should focus on, and how to best understand the data we've collected so far to improve our services and marketing we offer to clients.
- to analyse customer behavior , define our prospects, creat and test marketing strategies to grow.
- to reduce bounce rate at first page of our website.
- to find optimized marketing to make re-visit and purchase.
Luxe Botanics is a start-up organic skincare brand. We are looking for a team with an eye for detail who can read into data across our existing marketing plaftforms including our e-commerce website, fortnightly blog, newsletter as well as social media handles on Facebook, Instagram and Twitter helping us to understand our consumer better and make more informed strategic and tactical decisions regarding content. Currently we use Simply Measured reports but need to cross correlate data across platforms and generate consumer insights that will help inform how best to grow engagement around our brand and what generates the greatest traction moving forwards. We are looking for talent who can spot the opportunities in data - consumer and commercial opportunities we have missed - who engage with our brand most on a daily basis. We are open to new ideas, ways we can integrate AI into current systems to track this better.
We have data from 150,000 subscribers by approximately 400,000 daily charging transactions, and want to dive deeper to understand these users.
Our BI team is looking for some support around our existing customer data, pulling out insights and learning, and helping us implement BI best practice for our ongoing KPI management.
Further to this and based on these data outputs, we seek to create some statistical modelling around customer usage and behaviour, with the ultimate objective of using this data to better understand our customers and drive engagement.
Perfect for anyone interested in both deep data analytics and getting their hands dirty, but also the practical implementation of data insights and how they can be used to drive customer behaviour and engagement.
Mobio Interactive has a mobile platform that measures the efficacy of digitally delivered medical-grade mindfulness. Using computer vision, MI obtains the heart rate, breath rate and relative blood oxygen saturation of users pre-/post-mindfulness training. Using AI, heart rate variability is calculated to objectively assess stress in the user. These data, combined with user self reports of mood, stress, demographics and time/location stamps allows MI to personalize mindfulness training for every individual on the platform.
MI launched a research app, Wildflowers Mindfulness, in 2016 on which there are now 25,000 active users generating millions of unique data points. With the scheduled launch of at . least three new products in 2018, MI's user base is anticipated to exceed 1 million by the fourth quarter.
These data are considered medical data in many jurisdictions and contain personal identifiable information, both of which must be stored and analyzed in accordance with strict guidelines.
MI's CEO and Chief Scientist (former Principle Investigator at the Zurich Psychiatric Hospital) handles all data analysis himself, with the exception of the deep neural nets used to assess stress objectively from heart rate data. R is the primary tool used for data analysis at MI.
This project will refactor current R scripts, generate new scripts to delve into the data in new ways and may extend to optimization of the data storage in SQL. Strong skills in R and and an eye for data visualization are a must for the project team.
Bikes can at times be parked in areas deemed a nuisance, and they are reported to us by different sources. We want to be able to proactively manage our bike supply to ensure they are placed in relevant locations.
Via our Mixpanel data analytics platform we currently collect data on the way in which hotel guests navigate the hotel, its outlets and, perhaps most importantly, the city they are visiting. Guests carry our customised smartphones with them and use them for guidance on the trendiest and most appealing spots in town. With your help we want to better understand the effectiveness of our content coverage and analyse patterns that could potentially provide a level of detail that might go as far as understanding as to what a certain traveller demographic likes doing most.