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.
Our subscription games service revolves around presenting users with the right content at the right time, to better serve their needs and continue to grow engagement with our platform. We are looking to build a recommendation engine, based on our usage data and customer feedback, so that relevant games can be presented to users when they log into our store. This project will involve analysing our existing customer data and provide insights and recommendations on how we can use this to better serve up content to our users.
Analytic.me is a startup currently accelerated at Startup Chile. We are now in the process of optimising & refining our sales channel. If you are interested in sales, and particularly B2B SaaS sales, then this might be an interesting project for you. I'll try to teach you as much as I know, including how to launch your own company, B2B sales, etc.
Neoma is a proximity marketing platform that offers real-time data to organizations, helping them to both better serve their customers and optimize internal operations.
We believe customers have power in the marketplace; the key to increased revenue and long-term consumer relationships for brands is the right tool, which can transform each consumer interaction into a unique, memorable, and personalized experience. But this tool needs to report real-time information about the customer experience; highlight what to offer consumers during their current interactions as well as future ones; and provide helpful information so that companies can offer the same level of service no matter what channel customers use (whether online or in brick-and-mortar stores).
This is why we developed Neoma, a platform that can connect mobile applications for customers or staff to sensors installed inside venues (stores, malls, hotels, etc.). Neo-Journey is an AI (Artificial Intelligence) tool embedded within Neoma, allowing us to immediately serve customers and predict their needs based on behaviour. We can measure customer behaviour, such as itineraries inside stores and interaction with the message, and automatically respond, such as pushing targeted notifications based on small range locations or sending another message taking this information into account.
Whereas Neo-Journey connects an app to sensors (called "beacons"), Neo-Network is an IoT (Internet of Things) tool able to track communication between two beacons. The main purpose is to gather data about what’s happening on-site, allow companies to better understand what is happening, and make recommendations based on the data.
The goal of this project is to gather feedback about data collection, layout of data analytics, and procedures.
Qualitia is a software company specialising in functional test automation, and our Marketing Team is looking for people who are passionate about data analytics.
This project entails diving deep into our historical marketing data to seek out meaningful patterns in an effort to help understand how we can improve our reach to addressable markets and increase our qualified leads. You’ll also perform an analysis of data as it relates to our competitors. Success of this project will be seen in terms of growth in our Marketing and Sales.
If you consider yourself a Data Analytics geek, this project is for you!
Analytic.me is an accelerated startup with access to a lot of data. Most of the data is Google Analytics data, e.g. Sessions, Metrics, Bounces etc. The project will be focused on converting these numbers in actual insights. For example if we noticed that on a particular day sessions increased we dive deeper to understand why it happened and then save this peace of info as text. Our backend Is Python on PostgreSQL, previous knowledge of libraries like Pandas is highly appreciated!
If you have questions just email me at firstname.lastname@example.org
We're looking for a clear stack-ranked analysis of all the data science and machine learning communities. We then want to create a clear strategy around developing the world's best machine learning content and interview the top influencers.
In the past we've interviewed the founding engineer at linkedin and some key researchers in the space. We've grown to 8,000 members strong.