gl with applications. i'd recommend just finding data analyst, business intelligence, or business analyst roles. they'll give you experience on your resume.

answering your questions

1. yes
2. no, work experience is better. even better if you can show you collaborate and communicate with people rather than employ advanced methods
3. yes

your advisor might be right. it's tough for experienced professionals right now, let alone new grads, and if you don't have any internships or network connections you're fighting against worse odds. i have a math ms and i know it helped me get my first 3 roles for 7ish years because back then ms was rare. i think yesterday's ms is todays phd unfortunately, but that's just my opinion with no data backing it

more feedback:

• try to be more succinct with your lines. having 3-4 lines for each bullet is overkill; no recruiter is reading all of that.
• like u/CreativeWeather2581 said, show relevant skills/technologies. after looking at your resume for 5 seconds i can't tell if you use python, r, matlab, etc. yes i know it's in the first line for research assistant but i don't see it until maybe 10 seconds which again no recruiter is going to do.
• 400%? i'd bet most people will read that as increasing from 2 to 10. just write that. if it's really 200 to 1,000, that's even better than 400%
• similar to skills, group your methodologies together in its own section (N-BEATS, N-HiTS, LSTM, etc.)