Driving data analysis and visualisation
Implemented features Drive Safe: Monitoring and Recording Driving Behaviour and Drive Insights: Business Intelligence tool kit for visualisation from ideation to successful release
About expert
A Product Manager at DRVR.
David applied their knowledge of in Design, Transportation, Firm Software, Driver software, SaaS, Telecom, Data and Consulting on the following markets: Japan, Australia, Algeria and Thailand.
David built products like Drive safe: monitoring and recording driving behaviour and Drive Insights: business intelligence tool kit for visualisation using the variety of tools such as tool Teams, Survey Monkey, Meets, Google Docs, Typeform, Mixpanel, Jira, Asana, Figma, AWS, Discord, Slack, Qualtrics, Notion, UserTesting, ClickUP, Docker, GitHub Actions, Zoom, Google Sheet, Monday.com, Draw.io, Adobe Suite, Trello, UsabilityHub, XMind, Lucky Orange and Amplitude, GitHub, Miro, Gitbook, Linear, Azure, Google Forms, Google Analytics and SurveyGizmo.
Other cases by David
Decentralized app implementation
I was part of the team that implemented from ideation to deployment.:
the Decentralized exchange (DEx)- smartswap.rigelprotocol.com
the Launchpad Decentralized Application (DApp)- launchpad.rigelprotocol.com from idealization to deployment.
the GiftDApp: A Decentralized Application (DApp)- giftdapp.rigelprotocol.com for gifting users and community members making airdrops more organized.
Similar cases
Setting up efficient customer support
Organized pre-launch product UX testing, regular users research and new features backlog prioritization
Organized the company's participation in high-profile contests, resulting in Nimb becoming a winner of Smart City Expo worldwide Congress’s call for solution in the “Safe Cities” category and a finalist of Xprize Women’s Safety competition
Set up efficient client support
Enhancing Analytical Infrastructure and Reducing Fraudulent Activities
Led the shift of analytical infrastructure, enhancing data resources and decreasing update errors by 90%. Increased identifiable traffic sources from 60% to 95%. Played a crucial role in reducing fraudulent responses from 28% to 1-4% by strengthening moderation and creating a fraud analytics direction. Contributed to a project reducing the cost of applications from groups by 70% and reducing vacancies in central Moscow from 20% to 6%.
