Sullivan shares data on America’s Affordable Housing Crisis.

My professional background is data science / analytics, which means analyzing cash flows will probably come more naturally than building relationships, which apparently, is how one finds deals worth making.Are there meetups in these areas I should attend (digitally at first, presumably)? 

These platforms can show which amenities are most sought-after in my market, helping me make data-backed decisions.ROI can sometimes be intangible, but even amenities that don't immediately show a monetary return (like higher satisfaction) often lead to long-term benefits, such as more positive reviews and increased visibility on Airbnb’s algorithm 

I will lend an example via data. 

Investing is different from speculating, in that it’s data driven and therefor predictable and you have factors that play in that covers your downside and strengthen your chance of upside. 

There are a lot of good meetups for real estate investors in the area that would be good to grow your network and learn from others that are and have been in your shoes as a new investor, message me and I can share on some specific monthly meetups.Also sharing some multifamily data, this is Boston proper so it has an interesting trend compared to the rest of Massachusetts.

That being said, its probably still worth looking at the data at those prices

Some of the national data sites have pricing suggestions that run both high and low.

Check out this recent rental report from Zumper ranking cities in the US with the highest rents. https://www.zumper.com/blog/rental-price-data/ Welcome to BP - do you work exclusively with investors as a broker or is it just a good portion of your clientele?  

Santarelli, in the second of the two videos given to perspective investors, adds that Dressbarn was purchased at the “Federal Bankruptcy Auction,” and that Norada Capital Management walked away with all the intellectual property for the company which includes the trademarks, the brand name and equity, the website, the URLS, and most importantly the customer data base ( Link, 18:05 to 18:26).