A CV or resume is a concise document that provides a snapshot of your skills, experiences, and qualifications. It’s your first impression to potential employers and a key tool in your job search arsenal. We’ll walk you through a structured guide to help you draft a compelling resume. Let’s get started!

Understanding the purpose of a resume

Before diving into the specifics, it's essential to understand the purpose of a resume. Your resume is a tool to secure interviews. It should present your skills and experiences in a way that is compelling and relevant to the job you’re applying for. Every section should be designed to highlight your qualifications and make you stand out to recruiters. Think of your resume as a sales document: you need to sell your potential and fit for the company.

Understanding ATS (Applicant Tracking Systems)

Before you begin drafting your resume, it’s crucial to understand the role of Applicant Tracking Systems (ATS). These systems are used by companies to streamline the hiring process by filtering and ranking resumes based on specific criteria.

Why is ATS important?

If your resume isn’t compatible with ATS, it might never be seen by a human recruiter. ATS software can struggle with complex formatting like tables, headers, footers, and non-standard fonts.

Pro tip

Consider using resume builders or Google Docs templates that are designed to be ATS-friendly. Here are some resume builders and Google Docs templates you can use:

While resume builders can be helpful, they sometimes include watermarks or charge for premium services. Additionally, some resume builders might be limited to only one resume per account and don't allow further changes, restricting your flexibility. We recommend using Google Docs for its free, straightforward, and ATS-friendly templates to ensure your resume is seen by potential employers and gives you better control.

Outline your CV

Let’s break down the essential sections of your resume. Each section serves a specific purpose and together they provide a comprehensive picture of your professional journey.

  1. Header and contact information

  2. Professional summary

  3. Experience

  4. Skills

  5. Education and certifications

  6. Projects (Optional)

Writing the CV

Focus on the Employer

When drafting your resume, always keep the employer's needs in mind. They aren't hiring you for what you've done in the past, but for what you can do for them. Here are some important points to consider:

1. Header and contact information

This is where you make it easy for potential employers to contact you, identify the roles you're targeting and provide access to relevant links to see your work or expand on your background. Here’s what to include:

Avoid sharing personal details such as birthdate, nationality, religion, marital status or personal identification numbers to protect your privacy and prevent potential discrimination. In some cases, it's advisable to avoid sharing your location as well, especially if you're open to remote work or willing to relocate, as it prevents potential bias based on your current geographic location. Focus on your skills and experience instead.

2. Professional summary

The summary is your first impression on the recruiter. It's a brief encapsulation of your professional journey. Here’s what to include:

Sometimes recruiters will just read the summary before they decide to move on to the rest of the document, so it’s crucial to make it strong and relevant.

Aspiring Data Scientist with a strong foundation in analytical skills and problem-solving. During my time at Turing College, I have developed proficiency in Python, statistical analysis, and machine learning. My experience includes working on various projects where I applied data manipulation techniques to uncover insights. My background in academic research and collaborative projects has equipped me with unique perspectives and a keen eye for detail. Passionate about using data to drive innovation, I aim to contribute impactful solutions in the data science field.

With over 10 years of experience in the transportation industry as a mechanical engineer, I bring a unique blend of technical and business optimization skills. My expertise lies in bridging the gap between business and technical worlds, leading teams, and driving innovation. Currently transitioning to Data Science, I aim to leverage my strong problem-solving abilities, technical acumen, and passion for data-driven decision-making to enable better and faster business solutions. Proficient in Python, SQL, and statistical analysis, I am eager to contribute to a dynamic team.

3. Experience

Your professional experience section is where you showcase what you’ve done and how you’ve contributed in previous roles. This is often the most scrutinized part of a resume and typically the most important section, making it the protagonist of your resume. Highlight your achievements, responsibilities, and the impact you’ve made in each position to demonstrate your value to potential employers. Here’s how to present your experience:

Ensure that all bullet points in your resume are written in the correct tense. Consistency in verb tense helps to present information accurately and professionally. Use present tense for current tasks if you are currently working in that role, and past tense for tasks you are no longer doing.

If you're a recent graduate with little to no prior professional experience, you can highlight relevant academic projects, internships, and volunteer work that demonstrate your skills and potential value to employers

  1. Academic Projects

    • Developed a machine learning model to predict housing prices, achieving an accuracy of 85% using Python and scikit-learn.

    • Conducted a comprehensive data analysis project on climate change, utilizing SQL and Tableau to visualize trends and present findings to the class.

    • Designed and implemented a responsive web application for a university project, using HTML, CSS, and JavaScript, which received top marks for functionality and design.

  2. Internships

    • Assisted in the development of a marketing campaign that increased social media engagement by 25%, gaining 500 new followers for the company.

    • Conducted user testing for a new mobile app, providing feedback that led to a 10% improvement in user satisfaction scores.

    • Analyzed customer feedback data, identifying key areas for product improvement and presenting recommendations to the management team.

  3. Volunteer Work

    • Coordinated a community outreach program, increasing participation by 30% and raising $5,000 for local charities.

    • Developed and maintained the website for a non-profit organization, improving site traffic by 15% through SEO optimization and regular content updates.

    • Conducted workshops on data analysis and visualization for local high school students, enhancing their understanding and skills in these areas.

  1. Marketing Manager (Transitioning to Data Analytics)

    • Led a marketing campaign that increased brand awareness by 30%, generating an additional 5,000 leads over six months.

    • Analyzed customer data to identify trends and preferences, resulting in a 20% increase in customer retention.

    • Managed a budget of $100,000, optimizing spend to achieve a 15% reduction in costs while maintaining campaign effectiveness.

  2. Mechanical Engineer (Transitioning to Data Science)

    • Designed and implemented process improvements that reduced production time by 25%, saving the company $200,000 annually.

    • Utilized statistical analysis to identify defects in the manufacturing process, leading to a 40% reduction in error rates.

    • Conducted root cause analysis on equipment failures, which resulted in a 15% increase in machinery uptime.

  3. Customer Service Representative (Transitioning to Digital Marketing)

    • Handled over 1,000 customer inquiries per month, maintaining a satisfaction rate of 95%.

    • Developed a new training program for incoming representatives, reducing onboarding time by 50%.

    • Analyzed customer feedback data to improve service protocols, resulting in a 20% decrease in complaint resolution time.

  4. Project Manager (Transitioning to Web Development)

    • Managed a team of 10 to deliver projects on time and within budget, achieving a project completion rate of 98%.

    • Implemented a new project tracking system that improved efficiency by 35%.

    • Coordinated cross-functional teams to launch a new product, leading to a 15% increase in market share within the first year.

4. Skills

The skills section is where you list specific tools and software you are proficient in, which are critical for the roles you’re targeting. This section helps ATS and recruiters quickly see if you have the technical abilities needed for the job. Here’s how to effectively present your skills:

If you've incorporated soft skills seamlessly into your experience bullets, there's no need to repeat the information here.

Avoid self-rating skills, as it can be subjective and may not accurately reflect your proficiency. Recruiters might misinterpret self-ratings, and anything less than perfect can make your skills appear weaker. Instead, list your skills without ratings to present a more professional image and optimize resume space.

Technical skills:

  • Programming Languages: Python, JavaScript, SQL, R

  • Data Analysis Tools: Excel, Tableau, Power BI

  • Web Development: HTML5, CSS3, React, Node.js

  • Machine Learning Libraries: scikit-learn, TensorFlow, Keras

  • Database Management: MySQL, PostgreSQL, MongoDB

  • Cloud Platforms: AWS, Google Cloud Platform

Tools:

  • Version Control: Git, GitHub

  • IDEs: Jupyter Notebook, PyCharm, Visual Studio Code

  • Workflow Automation: Jenkins, Docker

  • Visualization: Matplotlib, Seaborn

Soft skills:

  • Communication, teamwork, problem-solving

5. Education and certifications

Your education section showcases your academic background and any relevant coursework or projects that can bolster your qualifications. Here’s what to consider:

Turing College (May 2023 – May 2024): Earned a Data Analytics Certification, becoming proficient in SQL, Python, exploratory data analysis, customer segmentation, and machine learning. Developed a predictive analytics model for marketing campaigns, achieving a 20% increase in ROI.

Lithuania Marketing Association (Jan 2022 – Jun 2022): Received a Digital Marketing Certificate with a focus on digital marketing strategy, SEO, SEM, content marketing, and social media marketing. Certified as a Digital Marketing Professional with strategic planning and execution skills.

6. Projects (Optional)

Including a separate project section can be beneficial, especially if this is your first job or you want to compensate for the lack of prior field experience. Projects can demonstrate hands-on experience and your ability to apply your skills to real-world problems. Here’s what to include in your project description (draft it in a coherent paragraph):

📊 Data Analytics – Marketing spend optimization: Developed a model to optimize marketing strategies by predicting customer responses using SQL and Python for data analysis. Applied machine learning algorithms (e.g., decision trees) to enhance the model’s predictive accuracy. Although this project was academic in nature, it provided valuable insights into how targeted strategies could improve customer engagement, preparing me for real-world applications in marketing analytics. The project was hosted on GitHub, where you can find the code and detailed reports on the analysis conducted. GitHub Repository (anchor link to text)

📱 Web Development – Responsive e-commerce website: Built a fully responsive e-commerce website for a local business as part of a capstone project. The site allowed customers to browse products, make purchases, and track their orders. Used HTML, CSS, JavaScript, and React to build the front-end, and integrated a back-end using Node.js and Express to handle user authentication and payments. The website was designed to be mobile-friendly, ensuring a seamless experience across all devices. This project showcased proficiency in full-stack development and responsive design. GitHub Repository (anchor link to text)

📊 Data Science – Predictive analytics for customer churn: Developed a predictive analytics model to identify potential customer churn using Python and machine learning algorithms (decision trees, random forests). Cleaned and processed large datasets using Pandas, visualized trends with Matplotlib, and tested the model's accuracy with various evaluation metrics. The model achieved 85% accuracy, offering businesses a proactive approach to retaining customers. This project provided practical experience in machine learning, data cleaning, and building predictive models. GitHub Repository (anchor link to text)

🔧 Data Engineering – Data pipeline for sales analytics: Designed and built a data pipeline to automate the extraction, transformation, and loading (ETL) of sales data from various sources into a central data warehouse using Python and Apache Airflow. Utilized SQL for querying and transforming data, ensuring data integrity and optimizing performance. This pipeline reduced manual data processing time by 30%, allowing the business to make faster, data-driven decisions. The project showcased proficiency in building scalable data pipelines and automating ETL processes. GitHub Repository (anchor link to text) (link to pipeline code and documentation).

📊 Digital Marketing – Campaign performance analysis: Conducted a comprehensive analysis of digital marketing campaigns to evaluate the effectiveness of different strategies. Analyzed data from Google Analytics, social media platforms, and email marketing tools to identify trends, conversion rates, and audience engagement. Created detailed reports using Tableau to visualize key metrics and insights. The analysis led to the recommendation of optimized targeting strategies, potentially increasing engagement by 15%. This project demonstrated skills in data analysis, visualization, and marketing performance evaluation. GitHub Repository (anchor link to text) (link to analysis reports and visualizations).

If relevant coursework or projects have been integrated into other sections, ensure consistency and avoid repetition to maintain a concise and focused resume.

Finalizing your resume

The final touches on your resume can make a big difference in how it’s received. Here’s how to ensure your resume is polished and professional: