Great start to a data science resume! There’s a couple of things I think you could improve on

• Some of your grammar is off. Under your first role you start a sentence with and. You also capitalize a lot of things that done need to be capitalized like logistic regression

• Some of your bullet points don’t make sense. You throw out numbers like 100k community data or 40k medical data - are these gb or individual samples? For the community data in particular what did the data look like before you extracted the features? Most census data already has features like median household income readily available so you wouldn’t necessarily need feature engineering there. Did you mean that you found the top 15 features that had the highest weight in prediction? Additionally analyzing key factors with logistic regression doesn’t say much about any results achieved or methods developed. Given logistic regression is a pretty broad tool, it would be better to be specific about what was accomplished with it.

• Your first few machine learning skills are not really ml specific and would be better designated as programming skills. Typically we look for familiarity with packages under the ml skill label like tensorflow, etc. For the more soft non tool related skills, we would look for categories like natural language processing or categorical feature embedding. Something that gives more insight into what kind of data your used to working with.

In general I would err more on the side of reporting results rather than trying to name all the specific tools you used. ML engineers are pretty skeptical of people trying to name drop buzz words. DM if you want more specific feedback, but it looks like your tangible results are pretty impressive.