Bow Valley Design and Engineering Project Support

If you need technical help developing a personal idea into a product, or writing a patent application, I may be able to help you. I have spent six years studying college level physics and optics and have worked for many years as an engineer and technician for companies in Canada and the US.
If you have a business website, I can create a colourful and informative dashboard to add to the content of your existing website.

My Education

Queen's University
Kingston, Ontario

Master of Science Degree

Electrical & Computer Engineering


Technion – Israel Institute of Technology
Haifa, Israel

Bachelor Degree

Physics


CONTACT

Ilan Dan-Gur
Ilan Dan-Gur
Canmore, Alberta
Phone: 403-688-0777
Email: ilan@MoleSense.com

Some Technical Accomplishments

Below are projects that I have completed and are available for viewing on the web.


Using R to find correlation between salaries and companies' ratings:

http://molesense.com/correlation-between-salaries-and-companies-ratings.htm


COVID-19 depicted as a red sphere with short tentacles spread evenly on its surface.

I used data from the CDC (Centers for Disease Control and Prevention in the US) to investigate whether being older, in and of itself (without considering the effects of pre-existing conditions), puts someone at a greater risk of dying from COVID-19 as compared to the age-related increased risk of dying without COVID-19:

http://molesense.com/covid.htm


I used census records to compare statistics from small/medium Alberta towns:

http://molesense.com/alberta-towns-stats.htm


I used data from the CDC to find all of the large geographical areas in the U.S. that have high cancer incidence or mortality rates compared to other U.S. regions for every combination of cancer, gender, and race/ethnicity.

I used Javascript to process and analyze the data and present statistical results (data visualization) on my website.

Below are the two main articles of the analysis:

http://molesense.com/cancer-clusters/main.htm

http://molesense.com/cancer-clusters/shared-borders-statistics.htm


Many words appearing in different sizes. The larger words are at the centre of the image, while smaller words appear at the edge.

I used data mining to analyze the content of posts in a facebook group using R:

http://molesense.com/text-mining-using-r.htm

Based on statistical mortality data from the US, and your age, we can give you amazing information about your longevity and where you stand statistically.

http://molesense.com/how-long-will-i-live.htm


I created a browser software (a "Chrome extension") that analyzes similarities between the user's mole images and 100s of skin cancer images on the web.

The tool can be downloaded (for free) by going to the Chrome Web Store .

You can also view a real-life example of how the software works on images of suspected melanoma using a smartphone or computer/tablet.


I wrote and submitted a US patent: Method and apparatus for self-examination of the eye.


I created two useful Android apps:

- An app to sharpen the brain, memory, and math skills by solving math problems.

- An app that helps people see a detailed image of eye floaters (floaters are opaque or semi-opaque deposits (e.g. dead cells) that float inside the eye).

The apps are called "Math Prodigy" and "Eye Floaters" on the Google Play app store.