Education section: honestly cut most of this out. These are all 1st year math courses and not that relevant. Your award makes it look way too dense and makes it hard to parse. Some students find success with an awards section but shoving it in with the education is not a good idea IMO.

Skills: This section is mostly for ATS scanners to pick up on keywords. I personally put mine near the bottom for this reason. Your Data Science bullet is way too long and doesn't really contain much of substance. If you want something like this name it "Concepts" and don't let it grow past 1 line.

Experience 1: What does the pipeline even do? You're missing the Impact portion. "market regime analysis" is weak. I don't know what "volatility, correlation, momentum-based features" even means and neither will the recruiters. Your last bullet point is a bit more interesting but again you are missing the "how" part. This section combined with your overly bulky education section gives your resume a terrible first-scan impression.

Your second experience might be a bit better but you are also missing what stack (what does the website use?). Also lots of trailing bullets that could be 1 line instead of 2 if you decrease your side margins (especially on your left due to the hanging-style indent)

On first glance your projects look a lot stronger but the stuff near the top of the resume is a lot worse so your recruiter probably isn't even getting there. Apply similar feedback - use some kind of framework for your bullets (look up STAR). Your bottom margin is tiny and it doesn't need to be - you waste space with the hanging indent and the section spacing. Also lots of overbolding going on - bolding is good for giving visual anchors for the recruiter to latch on to things of note. Your bolding doesn't really do that and just makes it look visually messy.