ASHA SHARMA
Noida · +91-XXXXXXXXXX · asha@example.com · github.com/asha · linkedin.com/in/asha

SUMMARY
Python developer focused on backend APIs. Built and deployed a FastAPI
course-booking service with PostgreSQL and tests. Looking for a junior backend role.

PROJECTS
Course Booking API — FastAPI, PostgreSQL, Docker, pytest      github.com/asha/booking
• ...

SKILLS
Languages: Python, SQL · Frameworks: FastAPI, Django · Tools: Git, Docker, pytest

EDUCATION
B.Tech, Computer Science — ____ University, 2026

Weak:
"Hard-working fresher seeking a challenging role to grow my skills."

Strong (backend):
"Python developer focused on REST APIs with FastAPI and PostgreSQL;
 built and deployed a booking API with automated tests."

Strong (data):
"Python developer with pandas and SQL experience; automated a weekly
 sales report that previously took hours to prepare by hand."

Action verb + what you built/improved + tools + result

Built     | a course-booking API          | FastAPI, PostgreSQL | deployed with Docker; tests cover booking rules
Automated | weekly attendance reports     | pandas, openpyxl    | replaced a manual Excel process
Reduced   | API response time on search   | indexes, caching    | search now responds without noticeable delay
Added     | CI pipeline                   | GitHub Actions      | tests run on every pull request

# The N+1 fix mentioned in a resume bullet (Django)
# Before: one extra query per enquiry to fetch its course
enquiries = Enquiry.objects.all()
for e in enquiries:
    print(e.course.title)

# After: one joined query
enquiries = Enquiry.objects.select_related("course")
for e in enquiries:
    print(e.course.title)

# Compare your resume text with a job description (rough check)
import re

def words(text):
    return set(re.findall(r"[a-zA-Z+#.]{2,}", text.lower()))

job = open("job.txt").read()
resume = open("resume.txt").read()

skills = {"python", "django", "fastapi", "flask", "sql", "postgresql", "docker",
          "git", "pytest", "aws", "pandas", "rest", "redis", "celery"}
wanted = skills & words(job)
missing = wanted - words(resume)
print("Job asks for:", sorted(wanted))
print("Not on your resume:", sorted(missing))   # add only if you really have them

For each application (10-15 minutes)
☐ Summary names the role and 2-3 skills from the job post
☐ Most relevant project moved to the top
☐ Bullets reordered so matching skills appear first
☐ Skills section uses the job's wording where accurate
☐ Irrelevant items removed to keep one page
☐ File name and contact links checked

PROJECT NAME — Tech, Tech, Tech                     github.com/you/project
• Built ____ using ____ to ____ (what it does for users)
• Implemented ____ (key technical feature) with ____
• Added ____ (tests / CI / Docker / docs) so that ____
• Result: ____ (outcome in honest words or verified numbers)

☐ One page (fresher) / two pages max (experienced)
☐ GitHub and LinkedIn links work
☐ Every bullet starts with an action verb
☐ No invented numbers; outcomes are honest
☐ No spelling or grammar errors
☐ Single column, standard headings, PDF
☐ Each listed skill can be discussed in an interview

Company | Role | Tailored? | Date | Response | Notes
_______ | ____ | Y / N     | ____ | ________ | _____
Review monthly: which version gets responses? Keep what works.