joao-pereira.pt Avaliação e análise
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| WebSite | |
| Host IP | 81.88.57.70 |
| Location | Italy |
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joao-pereira.pt avaliação
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US$1,274
Última atualização: 2022-10-24 10:00:15
A classificação global da Semrush para joao-pereira.pt é 0 . joao-pereira.pt tem um valor estimado de US$1,274 com base na receita estimada de anúncios. joao-pereira.pt é acessado por aproximadamente 147 usuários únicos a cada dia. Seu servidor web está localizado em Italy e tem um endereço IP de 81.88.57.70. O SiteAdvisor diz que joao-pereira.pt é seguro para acessar. |
Tráfego e valor de cotação
| preço de venda | US$1,274 |
| receita diária de anúncios | US$1 |
| receita mensal de anúncios | US$35 |
| receita anual de publicidade | US$423 |
| Visitante Único Diário | 9 |
| Observação: todos os valores de tráfego e receita são estimativas. | |
DNS Records
| Host | Type | TTL | Data |
| joao-pereira.pt. | A | 899 | IP: 81.88.57.70 |
| joao-pereira.pt. | NS | 900 | NS Record: ns2.amenworld.com. |
| joao-pereira.pt. | NS | 900 | NS Record: ns1.amenworld.com. |
| joao-pereira.pt. | MX | 900 | MX Record: 1 aspmx.l.google.com. |
| joao-pereira.pt. | MX | 900 | MX Record: 5 alt1.aspmx.l.google.com. |
| joao-pereira.pt. | MX | 900 | MX Record: 5 alt2.aspmx.l.google.com. |
| joao-pereira.pt. | MX | 900 | MX Record: 10 alt3.aspmx.l.google.com. |
| joao-pereira.pt. | MX | 900 | MX Record: 10 alt4.aspmx.l.google.com. |
| joao-pereira.pt. | TXT | 900 | TXT Record: v=spf1 include:spf.webapps.net ~all |
HtmlToTextCheckTime:2022-10-24 10:00:15
| João Pereira Projects Experience Publications Talks Blog 1 João Pereira Download CV mail@joao-pereira.pt About me I am a Data Scientist at adidas in the Digital Data Science team in Amsterdam where I work on developing demand forecasting models and productionizing them in highly scalable, cloud-native data pipelines. Prior to joining adidas, I completed my Professional Doctorate (PDEng) in Data Science at Eindhoven University of Technology, where I worked on data science projects for multiple companies (ASML, Van Lanschot, TE Connectivity, Heijmans, FIOD). Before the PDEng, I conducted deep learning research focusing on anomaly detection in time series data and completed my Masters and Bachelors degree in Electrical & Computer Engineering. I am broadly interested in the field of machine learning and its endless applications and passionate about turning cutting-edge research into products. Here you can find a list of my previous projects and here a list of publications. Feel free to |
HTTP Headers
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