Zeinab Teimoori
Zeinab Teimoori
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Data analysis Information technology Education

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Big data 1 Cryptocurrency 1 Customer service 1 Data wrangling 1 Distributed ledgers 1 Loans 1 Machine learning 1 Operations 1 Performance review 1 Staff management 1

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AGARU
AGARU
Toronto, Ontario, Canada

Big data architecture + ML for customer record match

Positions available: 6 (teams or individually) We’re looking for database and data wrangling talent! We are a hospitality startup that helps create transportable records of customer votes for the frontline staff of hospitality enterprises. We are aiming to change the lack of tracking and metrics for skills that are considered 'soft' and 'unmeasurable' in customer service. Think crowdsourcing performance reviews + staff management system + employee feedback WHY BIG DATA & ML? Hospitality has Trillions of interactions everyday, and currently that data is lost. We aim to capture it for the benefit of staff and enterprises. So we need a good foundation to offer a robust, third party verifiable, and future proof platform for staff and enterprises everywhere. WHO ARE THE CONTRIBUTORS? The contributors of the votes for staff are everyday people who may interact with frontline customer service agents in hospitality, like waiters, bartenders, sommeliers, baristas, etc Their vote based on the quality of the customer service received is the basis of the project. Agaru gives staff and enterprises peace of mind about customer service quality in hospitality interactions. We quantify and breakdown CX, helping manage staff and operations objectively. About us: Our startup is based in Toronto In essence: We crowdsource performance reviews for frontline hospitality and service staff, creating a transportable record of skill. We provide enterprises with an aggregate of the staff customer service performance on a daily / weekly / monthly basis. With this, talent can be spotted, and those lagging behind trained or monitored closely for improvement. The staff owns the data and can always opt out. By sharing the majority of our revenue ( up to 80%) with the participants (staff and voting customers) we will fuel the growth of the platform. Outcomes: With this record enterprises can get better customer feedback and manage staff better; staff is rewarded for good performance and can have access to opportunities beyond age, gender, origin, politics or seniority at work; customers are rewarded for their participation (currently we send a bottle of wine for every 10 votes!). We believe this is a win-win-win and the way of the future. Our goal is that everyone that participates in the process can benefit from the interactions. The future: Our platform will open opportunities that were simply not possible before; by having a record of skill staff can prove their talent and have a measure of feedback that doesn't exist now. By having proof of employability this can open doors to loans, credit, further training or better jobs. Big picture: Ultimately we will bring people everywhere what they deserve: Respect and dignity. Cannot be bought or sold. It will be built by the talent and effort of the individual. We will make it tangible. This is the page, should you accept your mission: www.agaru.me GOALS OF THIS CHALLENGE / PROJECT (parts you can take individually or as a whole) 1.We need help wrangling the data by matching the staff name (and location) to existing records 2. Registered participants to be rewarded with cryptocurrency for their contributions 3. We need a verifiable way to ensure that each vote is unique and coming from one source using the browser / cookies to prevent abuse IDEAL OUTCOMES If there is no record there should be a new profile automatically created for the staff for every vote Matching up records to staff is crucial (ideally no orphaned votes from incomplete data left). The implemented system will search in google the physical location of the enterprise and add that address to the record. Ideally a reference of the records will go onto a distributed ledger so that third parties can check the data without disclosing private information We hope to integrate our reward system with cryptocurrencies for all registered participants to encourage participation and fuel the growth of the platform DB should be write only or delete altogether the records, no edit.

Matches 5
Category Information technology + 2
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