Co-Founder
CurrentAutomação de atendimento ao cliente com inteligência artificial para o mercado automotivo.
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Gabriel Marques Pinto is listed as Process Automation, BI and LLM Implementation Expert | Ex-Uber at bna.dev, based in São Paulo, Brazil. AeroLeads shows a matched LinkedIn profile for Gabriel Marques Pinto.
Gabriel Marques Pinto previously worked as Co-Founder at Bna.Dev and Engineering Manager - LATAM (at Otter) at Cloudskout. Gabriel Marques Pinto holds Bacharelado Em Engenharia, Mecatrônica, Robótica E Engenharia De Controle E Automação from Escola Politécnica Da Usp.
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Hey there! I'm Gabs, a tech enthusiast and problem solver with a knack for process automation, BI, and LLM implementation. At Uber, I worked on high-impact projects, including creating the ConduApp validation process for partner drivers in São Paulo, reducing fines from R$200k to R$2k monthly, and automating the data pipeline for market equilibrium metrics across Brazil. At Rappi, I tackled churn and user reactivation. My latest gig? Engineering/Product Manager at CloudKitchens/Otter, leading a new BI product, managing a team, and hiring freelancers/3PDs. When I’m not diving into data, I’m passionate about digitalizing our physical world, turning everyday challenges into seamless digital solutions. Let’s connect and chat about all things tech!
Listed skills include Espanhol, Jsp, Linux, C, and 19 others.
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Automação de atendimento ao cliente com inteligência artificial para o mercado automotivo.
São Paulo, Brasil
1. Creating our marketplace for cloud printers as a cheaper CAC option for the business- Opening and operating Meli and Shopify stores in MX and BR- Managing marketing performance and campaigns for both countries- Implementing visualizations to track KPIs2. Implementing Self-Onboarding in our website- Leading the team in Latam to implement this feature- Managing developers, Ops, Marketing and Sales team to figure out the best way to implement it- Results: - increasing the conversion and CAC of outbound leads. We only had sales / onboarding with phone - reaching the same onboarding to active customer rate of US/CAN region in 2 months
São Paulo, Brasil
Operations1. Data Engineering- recreate Brazil's ETL process to LatAm and other global regions that still didn't have the KPIs consolidated- new ETLs to create LatAm P&L and Monthly Business Reviews2. BI- Creating dashboard por Ops and CS which all the main KPIs per customerS&P1. Churn analysis- using Python to analyze how churn was affecting the region and which were the most relevant data points that lead to churn customers- result: found main pain points in Brazil which lead to a change on the sales funnel2.P&L and MBR- assisting the monthly process of updating our P&L and creating analyses for MBRs3. Unit economics by product- creating our unit economics on a product basis- result: it was the first time that our company could analyse CAC, LTV and churn by product vertical
São Paulo, Brasil
Data Engineering:- Creating ETLs to ensure visibility of Brazil's operation main KPIs- Implemented in Python using cron jobs to gather data from CRM and payment gateways + web crawlers of internal tools
São Paulo, Brasil
Churn- Overview churn funnel analysis- Implementation of heuristic to prioritize users reactivation with paid marketing campaignsMicrozones- Improvement and maintenance of an automated ETL with all metrics used company-wide for microzones performance (> 200 columns)- Creation of a microzones targeting prioritization method- Development of a microzones potential score (in progress)
Brasil
Business Intelligence- Creation and standardization of dashboards for projects and internal KPI's tracking (GSheets, R - shiny & internal tool)- Analysis of short and long-term safety data trends in LatAm with the HQ team (Python & R)- Assistance and analysis over safety data audit and investigation - Bringing agile methodologies to the team- Insights gathering from market information- Source of truth queries and safety data process documentation for stakeholders- Automation of communication flows and dashboardsPandas (employee group)- Creation of Uber Rides and Eats queries repository- Geospatial analysis documentation and e-Learning session- Documentation on how to query at Uber- Analytics office hours for interns and FTE's
São Paulo
Hotspots- Visiting hotspots and enhancing the app UX- Microanalysis of SP hotspots marketplace- Dashboard for hotspots marketplace monitoringEvents- Carnaval operation (analysis of Carnaval best spots and app modifications during the holidays)- Arena Corinthians operation (in-loco operation for alignment with Corinthians' security and CET staff)Airports- GRU and CGH pricing/partnership analysisRegulation- Development of the data sharing between Uber and city regulators via SQL and SFTPMarketplace- Standardization of marketplace health metrics and analysis throughout Brazil with prediction of GB loss due to health degradations
Ilmenau, Germany
- Simulation and modeling of electromechanical systems- Development of electromechanical systems- Piece and devices quotations- Linear actuators programming
Campus Butantã
Estudos sobre o comportamento de ondas acústicas em tecidos humanos, principalmente pulmões, para aperfeiçoamento de tomógrafos.
Shopping Anália Franco
Mais de R$80.000,00 em vendas (mais de 110% da meta estipulada).
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Gabriel Marques Pinto works for bna.dev.
Gabriel Marques Pinto is listed as Process Automation, BI and LLM Implementation Expert | Ex-Uber at bna.dev.
Gabriel Marques Pinto is based in São Paulo, Brazil while working with bna.dev.
Gabriel Marques Pinto has worked for Bna.Dev, Cloudskout, Otter, Rappi, and Uber.
You can use AeroLeads to view verified contact signals for Gabriel Marques Pinto at bna.dev, including work email, phone, and LinkedIn data when available.
Gabriel Marques Pinto holds Bacharelado Em Engenharia, Mecatrônica, Robótica E Engenharia De Controle E Automação from Escola Politécnica Da Usp.
Gabriel Marques Pinto is listed with skills including Espanhol, Jsp, Linux, C, Microsoft Powerpoint, Matlab, Pesquisa, and Nx.
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