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Tips for a resume in the computer science field?

I'm making a resume draft as a data scientist and want to know some good tips that will make my resume better/stand out more.

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Dexter’s Answer

Hi Jesus,

I would make sure that the majority of your resume consists of relevant experience for the job that you are applying for. If you don't have much experience, you can build on them by contributing to open source projects and by working on projects for non-profits (though websites like catchafire.org). On top of open source projects and non-profit work, you can even list personal projects, though they're less important because it only shows what you're capable of when you're working alone, unlike non-personal projects, where you have to work with other people and deadlines.

Oh, and lastly, please don't put anything in your skills section that you're not actually comfortable with. As an interviewer, if I see something in the skills section, I see it as a green light to ask questions about, and if the interviewee fails to answer the question well, it puts the rest of the resume on doubt.

I hope that was helpful!
--
Dexter
Thank you comment icon Thanks for the help. Jesus
Thank you comment icon No worries Jesus! Dexter Arver
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Drew’s Answer

Agreed w/ Dexter. Linking to a GitHub and/or Google Scholar profile doesn't hurt either.
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Lena’s Answer

Hi Jesus, as a recruiter for data science roles, I suggest the following:

1. Highlight education and GPA. Data scientist is a very technical role, and sometimes requires STEM majors such as math, statistics, data science, computer science, etc. Because of the nature of this and you are just graduating without too much work experience, major and education is a very important aspect for companies to go by this early in your career. If you have a high GPA, add that to your Education section and put this first.

2. Structuring internship experience to be role/number specific. Look at the job descriptions you plan to apply for, and what type of language, database, modeling and industry experience is required and add the specifics to your resume and substantiate with numbers. If your role requires very specific modeling experience/database experience, try incorporate it naturally into your internship experience. Instead of saying "Built a predictive model for the insurance resubscription rate", say "Built a logistic regression solution using R to predict the insurance resubscription rate and increased the accuracy by 25%".

3. Add the skills and be specific. Add the languages, databases, and be very specific down to the Libraries so the employers know your extent of expertise in them. Eg. Python(NumPy) instead of just Python.
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Priscilla’s Answer

Hello Jesus.
When I worked in HR, I also check if the resume addressed the requirements of the job description, that's it, it needs to be matched to any job you apply. Even if the experience you have is not work related (maybe you're a volunteer), include that.
Continuously read news about your field, and as possible get certifications.
Make sure you also address the soft skills required, as some Technology people don't pay attention to them.
Good luck!!
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Stephanie’s Answer

Hi Jesus!

I would recommend to include side projects that you have worked on. It shows your passion within the technology field as well as showing your technical skills off. A great beginner side project is to create a github pages (there are many youtube videos that can help guide you through this). Sharing your technical skills is important for a comp sci resume, but do not forget about your soft skills as well. Companies look for well-rounded individuals and those who are willing to learn!

Good Luck!!
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James Constantine’s Answer

Hello Jesus,

Tips for a Resume in the Computer Science Field:

When crafting a resume for a data science role, it’s essential to highlight your relevant skills, experience, and accomplishments to stand out to potential employers. Here are some tips to enhance your resume:

1. Tailor Your Resume to the Job Description:

Customize your resume for each job application by aligning your skills and experiences with the specific requirements of the position.
Use keywords from the job description to demonstrate that you have the necessary qualifications for the role.

2. Highlight Your Technical Skills:

Showcase your proficiency in programming languages such as Python, R, SQL, and others commonly used in data science.
Mention any experience with data analysis tools, machine learning algorithms, data visualization techniques, and statistical modeling.

3. Quantify Your Achievements:

Provide concrete examples of how your work has contributed to business outcomes or improved processes.
Use metrics and numbers to quantify the impact of your projects, such as increased efficiency, cost savings, or revenue growth.

4. Include Relevant Projects and Certifications:

List any data science projects you have worked on, including a brief description of the problem solved, methods used, and results achieved.
Highlight any relevant certifications or courses you have completed in data science, machine learning, or related fields.

5. Emphasize Soft Skills:

In addition to technical skills, emphasize soft skills such as problem-solving abilities, critical thinking, communication skills, and teamwork.
Demonstrate your ability to work collaboratively in cross-functional teams and communicate complex technical concepts effectively.

6. Keep It Concise and Well-Organized:

Aim for a clean and professional layout with clear section headings and bullet points for easy readability.
Limit your resume to one page if possible and prioritize information that is most relevant to the job you are applying for.

7. Proofread Carefully:

Check for spelling and grammar errors to ensure a polished final product.
Have someone else review your resume to provide feedback on clarity, relevance, and overall presentation.

By following these tips and presenting yourself effectively on your resume, you can increase your chances of standing out as a strong candidate in the competitive field of data science.

Top 3 Authoritative Sources Used in Answering this Question:

Harvard Business Review: The Harvard Business Review provides insights into effective resume writing strategies tailored for various industries, including technology and data science roles.

LinkedIn Learning: LinkedIn Learning offers courses on resume building specifically designed for professionals in the tech industry, providing valuable tips and best practices.

DataCamp: DataCamp is an online platform that offers courses on data science skills development, including guidance on how to showcase these skills effectively on a resume targeted at data science roles.

GOD BLESS!
James.
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