nicoleyoong.com

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Meta Tags

Title	Nicole
Description	Nicole Yoong Nicole Yoong Data Analyst / SQL Server Developer MSc Computing Science (Distinction) BA (Hons) Marketing Github Personal Statement Fascinated
Keywords	N/A

Server Information

WebSite	nicoleyoong.com
Host IP	63.250.43.6
Location	United States

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nicoleyoong.com Valuation

US$1,274

Last updated: 2023-01-08 17:08:12

nicoleyoong.com has Semrush global rank of 0. nicoleyoong.com has an estimated worth of US$ 1,274, based on its estimated Ads revenue. nicoleyoong.com receives approximately 147 unique visitors each day. Its web server is located in United States, with IP address 63.250.43.6. According to SiteAdvisor, nicoleyoong.com is safe to visit.

Traffic & Worth Estimates

Purchase/Sale Value	US$1,274
Daily Ads Revenue	US$1
Monthly Ads Revenue	US$35
Yearly Ads Revenue	US$423
Daily Unique Visitors	9
Note: All traffic and earnings values are estimates.

DNS Records

Host	Type	TTL	Data
nicoleyoong.com.	A	3599	IP: 63.250.43.6
nicoleyoong.com.	A	3599	IP: 63.250.43.5
nicoleyoong.com.	NS	14400	NS Record: ns1.dreamhost.com.
nicoleyoong.com.	NS	14400	NS Record: ns3.dreamhost.com.
nicoleyoong.com.	NS	14400	NS Record: ns2.dreamhost.com.

HtmlToTextCheckTime:2023-01-08 17:08:12

Nicole Yoong Nicole Yoong Data Analyst / SQL Server Developer MSc Computing Science (Distinction) BA (Hons) Marketing Github Personal Statement Fascinated by the impact of data on business operations, I am a prospective data analyst who is experienced in developing, maintaining, and analyzing SQL databases. A background in the marketing industry coupled with strong data analysis skills will bring unique insights to this role. The active development of personal projects exposes me to understand the importance of having an iterative and hypothesis-approach to analysis. I am keen to build on these skills in an exciting new role. Dissertation Project Study of the Time-Series Validation Schemes on the Performance of Tree-Based Models Researching into the different time-series validation schemes on the performance of machine learning models investigating S&P 500 stock price prediction. Evaluation metrics are formed to measure the model and strategy perfomance. They include: computational

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nicoleyoong.com valuation and analysis