Here is an overview of what we consider to be the key website statistics and information:
Parameter name | Status | Comment |
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Website meta title | Post-Doc AI, Algorithms, Machine Learning R&D: Princeton Quant Trading Presentations: Top Wall Street Investment Banks & Hedge Funds Quant. MIT AI & Machine Learning Subject Expert: 41 SSRN Top-10 Rankings: AI & Machine Learning. Global Financial Systems Leader, Big-3 Finance-IT, Wall Street Banks-Hedge Funds $1 Trillion AUM. Professor: Computer Scientist, Quant Management Scientist, Information Scientist, Chartered Engineer. World-Leading Hi-Tech Research Pioneering World-Leading AI, Algorithms, Machine Learning Practices. Leading Global & National Fin-Tech, and, Risk Management Practices & Policies. Computational QuantFinance-Finance-IT-Risk Management, Cybersecurity-Risk-Insurance, Digital Transformation. AI, Algorithms & Machine Learning; Anticipatory & Predictive Analytics. Advanced Analytics, Computer Science, Quantitative Finance, Quantitative Risk Analytics, Financial Econometrics, Python for Algorithmic Trading, Statistics & Probability, Quantitative Methods, Operations Research, Information Technology, Decision Sciences, Decision Support Systems, Object Oriented Programming, Advanced Spreadsheet Modeling, Network & Computer Security, Cybersecurity, Cyber Risk Insurance, Management Information Systems, Financial Engineering, Quantitative Risk Management & Controls, Financial Accounting & Auditing, Quantitative Economics, e-Business, Knowledge Management, Customer Relationship Management, Supply Chain Management, SAS, MATLAB, Python, C++, SAP-ERP, SAP-CRM, MS-Excel, VBA, Bloomberg, CEng, CISSP, CISA, CEH, Security+, CCP-CDP, CPA Education. | Search engines recommend title length of around 50-60 characters. The length of this title is 1573. |
Meta description | Dr. Yogesh Malhotra: MIT Industry Expert, Princeton Quant Trading Presentations: AI & Machine Learning. AACSB: Real World Impact of Research among Fin-Tech Nobel Laureates such as Black-Scholes. Post-Doc AI, Algorithms, Machine Learning R&D: Princeton Quant Trading Presentations: Top Wall Street Investment Banks & Hedge Funds Quant. MIT AI & Machine Learning Subject Expert: 41 SSRN Top-10 Rankings: AI & Machine Learning. Global Financial Systems Leader, Big-3 Finance-IT, Wall Street Banks-Hedge Funds $1 Trillion AUM. Professor: Computer Scientist, Quant Management Scientist, Information Scientist, Chartered Engineer. World-Leading Hi-Tech Research Pioneering World-Leading AI, Algorithms, Machine Learning Practices. Leading Global & National Fin-Tech, and, Risk Management Practices & Policies. Computational QuantFinance-Finance-IT-Risk Management, Cybersecurity-Risk-Insurance, Digital Transformation. AI, Algorithms & Machine Learning; Anticipatory & Predictive Analytics. Advanced Analytics, Computer Science, Quantitative Finance, Quantitative Risk Analytics, Financial Econometrics, Python for Algorithmic Trading, Statistics & Probability, Quantitative Methods, Operations Research, Information Technology, Decision Sciences, Decision Support Systems, Object Oriented Programming, Advanced Spreadsheet Modeling, Network & Computer Security, Cybersecurity, Cyber Risk Insurance, Management Information Systems, Financial Engineering, Quantitative Risk Management & Controls, Financial Accounting & Auditing, Quantitative Economics, e-Business, Knowledge Management, Customer Relationship Management, Supply Chain Management, SAS, MATLAB, Python, C++, SAP-ERP, SAP-CRM, MS-Excel, VBA, Bloomberg, CEng, CISSP, CISA, CEH, Security+, CCP-CDP, CPA Education. | To make sure all the meta description is visible in search results page, Google recommends length of up to 320 characters at the most. This description has exactly 1768 characters. |
Keywords | Artificial Intelligence, AI, Algorithms, Machine Learning, MIT Subject Matter Expert, Princeton Quant Trading Presentations, AACSB, Real World Impact of Research among Fin-Tech Nobel Laureates such as Black-Scholes, Princeton Quant Trading Presentations, Wall Street Investment Banks, Citadel, Goldman Sachs, JP Morgan, Hedge Funds Quant, MIT, MIT Sloan School of Management, MIT Computer Science & Artificial Intelligence Laboratory, AI & Machine Learning Subject Expert, Top-10 Research Rankings, AI & Machine Learning, Global Financial Systems Leader, Big-3 Finance, Big-3 IT, Wall Street Banks, Hedge Funds, University Professor, Computer Scientist, Quant Management Scientist, Information Scientist, Chartered Engineer, World-Leading, Hi-Tech Research, Pioneer, Machine Learning Practices, PhD, Doctor of Philosophy, Advanced Analytics, Computer Science, Quantitative Finance, Quantitative Risk Analytics, Financial Econometrics, Python for Algorithmic Trading, Statistics & Probability, Quantitative Methods, Operations Research, Information Technology, Decision Sciences, Decision Support Systems, Object Oriented Programming, Advanced Spreadsheet Modeling, Network & Computer Security, Cybersecurity, Cyber Risk Insurance, Management Information Systems, Financial Engineering, Quantitative Risk Management & Controls, Financial Accounting & Auditing, Quantitative Economics, e-Business, Knowledge Management, Customer Relationship Management, Supply Chain Management, SAS, MATLAB, Python, C++, SAP-ERP, SAP-CRM, MS-Excel, VBA, Bloomberg, CEng, CISSP, CISA, CEH, Security+, CCP-CDP, CPA Education, Chartered Engineer, MATLAB, SAS, SQL, Python, SQL, JavaScript, JQuery, Angular, JSON, C, Perl, PHP, MySQL, Finance-IT-Risk Management, Quantitative Risk Analytics, Anticipatory Risk Analytics, Predictive Analytics, Model Risk Management, Model Risk Arbitrage, Risk Management. Computational Finance, Finance-IT-Risk Management, Cybersecurity Risk Insurance. | We did not expect meta keywords to be used. It's a worrying sign more than anything, really, as websites with meta keywords often tend to be spammy. |
Load time | 0.8933 seconds on average | Website load speed is pretty fast. |
Total links on homepage | We found 286 links | This is a normal amount of links. |
Page HTML size | 162.5KB | Load speed (and overall responsiveness) is such an important factor for both search engines and user experience, would you not agree? With that in mind, this is a very good result. |
Website server | Server appears to be online. The IP address for the server is 66.39.87.72. | It's unfortunate, but despite our best attempts, we failed to gather enough data to provide a meaningful insight at this time. |
What, all that information was not enough? You want... more? Right, then. You asked for it.
Similarly to how a hard drive or a modern SSD device holds your files, a server holds all the files the website needs to operate. To load a webpage, your browser needs to contact the said server and request files - strings of code that make up the website into what it is, including images, text and database entries. Each physical server has a unique IP address that is used by the browser to contact it.
Let's see what technical information we've managed to gather:
Header in detail |
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HTTP/1.1 200 OK Date: Wed, 06 Dec 2017 15:35:20 GMT Server: Apache/2.4.29 Last-Modified: Sat, 02 Dec 2017 04:03:05 GMT Accept-Ranges: bytes Transfer-Encoding: chunked Content-Type: text/html |
A good domain address is usually one that is easy to spell, resulting in the smallest amount of mistypes possible. Still, such a thing inevitably happens. Here is a list with the most frequent 1806 mistypes, associated with yogeshmalhotra.com:
If you are curious about what TLD extensions could also match the domain name of yogeshmalhotra.com well, we have prepared an extensive list for you to look through:
We are glad you have finished this report. Hopefully, you found what you were looking for. In case you need more information to compare, here is a list of some other detailed overviews we have prepared: