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GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
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Title | Douglas |
Description | Douglas Fraser dfraser@douglas-fraser.com Github Machine Learning Mobile Full Stack System Architect QA Automation DevOps Systems research and development |
Keywords | N/A |
WebSite | douglas-fraser.com |
Host IP | 45.79.183.52 |
Location | - |
Site | Rank |
US$1,061
Last updated: 2023-05-20 04:49:26
douglas-fraser.com has Semrush global rank of 0. douglas-fraser.com has an estimated worth of US$ 1,061, based on its estimated Ads revenue. douglas-fraser.com receives approximately 122 unique visitors each day. Its web server is located in -, with IP address 45.79.183.52. According to SiteAdvisor, douglas-fraser.com is safe to visit. |
Purchase/Sale Value | US$1,061 |
Daily Ads Revenue | US$0 |
Monthly Ads Revenue | US$29 |
Yearly Ads Revenue | US$352 |
Daily Unique Visitors | 8 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
douglas-fraser.com. | A | 86399 | IP: 45.79.183.52 |
douglas-fraser.com. | NS | 86400 | NS Record: ns3.linode.com. |
douglas-fraser.com. | NS | 86400 | NS Record: ns2.linode.com. |
douglas-fraser.com. | NS | 86400 | NS Record: ns5.linode.com. |
douglas-fraser.com. | NS | 86400 | NS Record: ns1.linode.com. |
douglas-fraser.com. | NS | 86400 | NS Record: ns4.linode.com. |
douglas-fraser.com. | MX | 86400 | MX Record: 10 mail.douglas-fraser.com. |
douglas-fraser.com. | TXT | 86400 | TXT Record: v=spf1 mx a -all |
Douglas Fraser dfraser@douglas-fraser.com Github Machine Learning Mobile Full Stack System Architect QA Automation DevOps Systems research and development consultant focusing on AI, machine learning, NLP, and graph databases. Extensive experience in software and system development in various business sectors and industries such as IoT, ocean shipping, rail transport, e-commerce and the web. employment Senior Research Software Engineer , University of East Anglia 04-2017 — current Various short term contracts, e.g. assisting with writing research proposals and currently upgrading the Network Rail ETL system to use Prefect, ActiveMQ, and Apache Spark. Was the senior researcher on a RSSB feasibility study investigating how machine learning, expert systems, and graph databases could be used to improve the management of train delays. Primary duties included requirements analysis and design/development prototyping of the AIEDSS system which predicts train performance and reactionary train |
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