Top Data Science Intern sections that make the best resume
- Header
- Professional summary
- Experience (with numbers and results)
- Relevant skills
- Education
- Certifications
Writing a memorable experience section: Data Science Intern resume edition
Checklist: Ways to Make Your Experience Section Stand Out
- Find balance: use 4-6 bullet points per position;
- Include positions that are relevant to the job you’re applying for;
- Use action verbs when describing your responsibilities and results;
- Highlight your achievements by adding numbers to them (e.g. instead of saying “achieved a steady increase in…”, say “achieved an X% increase in…”);
- Prove that you’re willing to work hard, both individually and in a team.
We’ve gathered the most impressive Data Science Intern experience sections from real Enhancv resumes. Check them out for some additional inspiration!
- Analyzed massive social networks (350+ million vertices) using a variety of tools (Hive, Pig, Python).
- Used findings of academic paper [Gleich and Seshadhri, 2012] to develop scalable application for community detection algorithm in Apache Pig. Application is now used by a variety of internal clients (Big Data CoE, Mobility).
- Collaborated with various business units to create community and node level features describing customer behavior from the AT&T social network. Features have been used in churn modeling and customer intervention.
- Created a Model Which predicts the Redemption of Mutual Fund by an Investor in future.
- Cross sell analytics of Capital Market products.
- Technology Used: R ,Machine Learning and TIBCO Spotfire for Data Visualization
- Developed the recommendation algorithm for the Makeup Genius mobile application based on user demographics & interactions within the application, using Hadoop and Java
- Utilized secondary sorting through partitioners, composite key comparators, and key grouping comparators in Hadoop to reduce the runtime of the algorithm by 70%
- Designed a standard format for post-processed data to be used in algorithms & visualizations
- Created geo-location & timeline based visualizations for L’Oreal Paris product data regarding which products received the most interest along those parameters through Python (Pandas, Matplotlib)
- Implemented Machine Learning (XGBoost) on sample data sets to analyze the relationship between demographic variables and purchasing behavior with Python
- Data mining of Yougov Profiles survey data utilizing predictive modeling and time series analysis to provide market research forecasting for Advertising Sales clients
- Execute advanced analytics / machine learning techniques (regression, ANOVA, k-means clustering, decision tree classifier models) on data sets pertaining to Viacom's digital content viewership
- Develop statistical models predicting success metrics for online digital video posts on social media sites
- Compose and present decks containing high-level media and consumer research findings for Ad Sales research partners
- Use of data science tools including Python, R, and more
- Exposure to media data sources including: MRI, Yougov, Kantar, Nielsen National TV Toolbox, ComScore, Youtube Analytics, Anametrix, Nielsen Buyer Insights, and Nielsen Catalina Solutions
- Worked on a sensor data summarization project that required knowledge and applications of signal processing and advanced statistical techniques.
- Extensive experience with R.
- Got introduced to SQL, UNIX shell and Git.
- Contributed to the code repository.
- Use Python and R to collect and clean data from 5 external sources.
- The data set contains information of 14000 rentals in Greater Boston Area; 15 features of houses are used as predictors.
- Visualize data using Tableau and R.
- Develop machine learning pricing models for rental market in Greater Boston Area.
- Compose a report using R each week; present findings using Microsoft PowerPoint to CEO and CTO every week.
- Analyzed massive social networks (350+ million vertices) using a variety of tools (Hive, Pig, Python).
- Used findings of academic paper [Gleich and Seshadhri, 2012] to develop scalable application for community detection algorithm in Apache Pig. Application is now used by a variety of internal clients (Big Data CoE, Mobility).
- Collaborated with various business units to create community and node level features describing customer behavior from the AT&T social network. Features have been used in churn modeling and customer intervention.
- Graduate internship in the Wholesale Banking Advanced Analytics team
- Master's project on a recommender system for financial markets products
- Thesis topic: Uncertainty Analysis of Predictions by Recommender Systems based on Matrix Factorization Models
- Analyzed massive social networks (350+ million vertices) using a variety of tools (Hive, Pig, Python).
- Used findings of academic paper [Gleich and Seshadhri, 2012] to develop scalable application for community detection algorithm in Apache Pig. Application is now used by a variety of internal clients (Big Data CoE, Mobility).
- Collaborated with various business units to create community and node level features describing customer behavior from the AT&T social network. Features have been used in churn modeling and customer intervention.
- Use Python and R to collect and clean data from 5 external sources.
- The data set contains information of 14000 rentals in Greater Boston Area; 15 features of houses are used as predictors.
- Visualize data using Tableau and R.
- Develop machine learning pricing models for rental market in Greater Boston Area.
- Compose a report using R each week; present findings using Microsoft PowerPoint to CEO and CTO every week.
- Assist data science team in development of analytical models for product lines.
- Assist in building of innovative data products using cutting edge technologies and Business Intelligence tools such as Tableau in a fast paced environment.
- Responsible for the development and preparation of a broad range of dashboards for management.(reporting)
- Develop ad-hoc queries and provide analytical support and recommendation as necessary.
- Working with data mining methods, reliability analysis, simulation, and optimization.
- Work with scrap data from the web open API's or data of interest to the team.
- Gather and analyze business requirements from non-technical users and translate into detailed functional requirements that meet business needs.
- Diagnosed and intercepted website errors of the leading national airline "Pobeda"
- Extracted data (2500 customer reviews). Converted it into a readable form and recorded it in a text file
- Provided frequency and empirical data analysis using Python (pymorphy2, re, numpy, matplotlib)
- Involved in data management processes: data mining, data processing, data structuring, data visualisation.
- Utilised Microsoft SQL Server Management Studio, Microsoft Power BI and Microsoft Azure Machine Learning Studio.
- Implemented machine learning techniques and algorithms to model and predict data.
- Improve document classification result by extracting key sentences and trained sentence embedding using Universal Sentence Encoder
- Cleaned text documents through text processing
- Modularized the model training pipeline to allow for flexible changes
- Discovered domain-specific terms by studying word informations using a decision tree classifier, expanded the dictionary by 30%
- Used Keras to preprocess data for the construction of CRF and biLSTM model for discovery of domain-specific terms
- Developed a knowledge graph for industry categories using word2vec, K-means Clustering, led to more accurate recommendations for clients
- Used linguistic rules and regex to detect vague expressions in CVs
PRO TIP
Include quantitative data throughout your Data Science Intern resume to impress the hiring manager. Real facts and figures that show off your competency as an audit manager go a long way. Did you reduce the costs of audits? Manage a large team? Boosted efficiency? Show off the real numbers!
Action Verbs for your Data Science Intern Resume
Recommended reads:
Data Science Intern Resume: Crafting a Strong Skills Section
Do this if you want to make your skills section stand out:
- Check the job advert for keywords and add them to your skills section to pass ATS;
- List only skills that are relevant to the position to keep the hiring manager focused;
- Balance between hard, soft, and technical skills;
- Elaborate on some of your strongest skills in other sections of your Data Science Intern resume, e.g. the experience section or your resume’s summary.
Top Skills for your Data Science Intern resume
Rstudio
Jupyter
Mahout
Scikit
Graphlab
Gephi
Communication
Adaptability
Commitment
Self-learning
Curiosity
Persistence
PRO TIP
When picking skills to feature in your resume, make sure they'll be relevant to the position you’re applying to. The point of listing skills is for you to stand out from the competition. Stay away from repetitive, meaningless skills that everyone uses in their resumes. Or else, they’ll backfire and make you look like an average candidate.
Data Science Intern Resume Header: Tips, Red Flags, and Best Practices
CHECKLIST For Your Data Science Intern Resume Header
- Your name and surname in a legible and larger resume font
- The job title you’re applying for or your current job title as a subheading to your name
- Link to your portfolio or online profile, such as LinkedIn
- Address (City and State for the US; just your city for rest of the world)
- Email address
- Headshot (required or welcomed in the EU; not required and sometimes frowned upon in the US)
Stick to popular email providers such as Gmail or Outlook. And use these professional formats to create your username:
- first.last@gmail.com
- last.first@gmail.com
- firstlast@gmail.com
- f.last@gmail.com
- first.l@gmail.com
Recommended reads:
PRO TIP
Some companies, states, and countries have non-discrimination policies about what kind of information can be included on your Data Science Intern resume. This might include a photo (which is often included in a resume header and might be on personal web pages you link to). You can always email the company’s HR department to ask about their policies before you apply.
How to Write an Inspiring Data Science Intern Resume Summary
Checklist: Writing a resume summary that makes you stand out
- Keep it short and use well-structured sentences;
- Mention your total years of experience in the field and your #1 achievement;
- Highlight your strengths and relevant skills;
- Add keywords from the company’s website or the job description.
Resume Summary Formula:
PRO TIP
Your summary section should act as a professional taster. Use it wisely. Effectively convey your professional profile and let the hiring manager know that if they hire you, they won’t be disappointed. Make sure to include keywords from the job description too! Elaborate on your abilities further in your experience section. Again, cater to the job description.
Recommended reads:
Making the Education Section of Your Data Science Intern Resume Stand Out
Education section checklist for your Data Science Intern resume:
- List your highest education degree: including your major, year of graduation, and the institution you attended;
- Highlight the extracurricular activities that have helped you gain additional expertise;
- Share more about the certifications you’ve got, especially if they are relevant to the job position;
- Entry-level applicants: Mention relevant courses and projects.
Top Certifications for your Data Science Intern resume
Python for Data Science and Machine Learning Bootcamp
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
The Data Science Course 2022: Complete Data Science Bootcamp
Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning
Python A-Z™: Python For Data Science With Real Exercises!
Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization
2022 Python for Machine Learning & Data Science Masterclass
Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!
Complete Machine Learning & Data Science Bootcamp 2022
Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!
Recommended reads:
PRO TIP
If you hold a certain major and a minor, your majors should be mentioned first.
Data Science Intern Resume: Formatting Tips & Tricks
Which came first: the hen or the egg? This question reminds us of the thing our resume experts hear most often in their job – which comes first: the content or the format? Well, we advise you to pick the format first and then go on with drafting your resume’s content.
And how do you choose a resume format? Well, based on your applicant profile. In general, there are three basic resume formats for you to choose from:
- Reverse-chronological resume format;
- Functional skills-based resume format;
- Combination (or Hybrid) resume format.
Let’s look at each one of them in more detail:
The reverse-chronological resume format is quite straightforward. Here, you describe all your previous jobs in a reverse-chronological form, meaning your latest job comes first. This resume format is great for people with lots of experience and skills who don’t have any career gaps.
If you are a recent graduate or don’t really have much experience in the industry you’re applying for, go for the functional skills-based resume format. This format focuses on skills and character traits, rather than experience. It makes the hiring manager realize you’re the perfect fit for the role without putting too much emphasis on your work history.
And if you’re looking for something a bit more intriguing and exciting, check out the hybrid resume format. It’s a combination of the reverse-chronological and functional skills-based formats, which makes it great for all types of job-seekers. The hybrid resume allows you to showcase both your professional experience and your skills, education, and additional qualifications. If you’re feeling creative, add a separate section about your typical day or life philosophy.
Our top style and layout resume format tips:
- Go for a standard 12p resume font;
- Choose 1-inch resume margins for a professional and easy-to-read feel;
- ry your best to fit your resume in a one-page template. If you’re a professional with over 10 years of relevant experience, having a two-page resume is also fine;
- Make sure to save your resume as PDF – this will help you avoid unwanted editing and formatting issues.
Read this: How to make your resume stand out
Recommended reads:
PRO TIP
Test your draft Data Science Intern resume by sending it out to peers and mentors in your circles. Ask them to review it as if they are hiring you for a project and implement the feedback afterwards.
Other sections that’ll look good on your Data Science Intern resume
Do you want to move beyond the traditional skills, education, and experience section? Easy-peasy!
Just choose one or two additional sections to help recruiters get a fuller picture of who you are, both as a person and as a professional:
Adding a Splash of Creativity to Your Data Science Intern Resume
Boring resumes are no longer an option if you’re looking to impress recruiters.
And no matter whether you’re looking to give your old resume a new life or want to start building a new one from scratch, being at least moderately creative is always a good idea. Do this by adding a ‘favorite books’ section or even a pie chart of what your typical day looks like.
What Makes a Great Data Science Intern Resume: Key Takeaways
- Choose a resume layout that sends the right message across and fits your current career situation;
- Create a resume header that shows your desired job title, and easy to find contact numbers;
- Be specific about your experience, accomplishments and future goals in your summary;
- Feature detailed metrics and specific examples that show the impact you made in your previous roles when describing your experience;
- List soft skills backed by examples;
- Add all of your technical skills and certifications that you have and match the job description;
- Show off a dash of personality in your resume that will demonstrate your culture fit and the right mix of hard and soft skills.
