- Blog Categories
- Software Development Projects and Ideas
- 12 Computer Science Project Ideas
- 28 Beginner Software Projects
- Top 10 Engineering Project Ideas
- Top 10 Easy Final Year Projects
- Top 10 Mini Projects for Engineers
- 25 Best Django Project Ideas
- Top 20 MERN Stack Project Ideas
- Top 12 Real Time Projects
- Top 6 Major CSE Projects
- 12 Robotics Projects for All Levels
- Java Programming Concepts
- Abstract Class in Java and Methods
- Constructor Overloading in Java
- StringBuffer vs StringBuilder
- Java Identifiers: Syntax & Examples
- Types of Variables in Java Explained
- Composition in Java: Examples
- Append in Java: Implementation
- Loose Coupling vs Tight Coupling
- Integrity Constraints in DBMS
- Different Types of Operators Explained
- Career and Interview Preparation in IT
- Top 14 IT Courses for Jobs
- Top 20 Highest Paying Languages
- 23 Top CS Interview Q&A
- Best IT Jobs without Coding
- Software Engineer Salary in India
- 44 Agile Methodology Interview Q&A
- 10 Software Engineering Challenges
- Top 15 Tech's Daily Life Impact
- 10 Best Backends for React
- Cloud Computing Reference Models
- Web Development and Security
- Find Installed NPM Version
- Install Specific NPM Package Version
- Make API Calls in Angular
- Install Bootstrap in Angular
- Use Axios in React: Guide
- StrictMode in React: Usage
- 75 Cyber Security Research Topics
- Top 7 Languages for Ethical Hacking
- Top 20 Docker Commands
- Advantages of OOP
- Data Science Projects and Applications
- 42 Python Project Ideas for Beginners
- 13 Data Science Project Ideas
- 13 Data Structure Project Ideas
- 12 Real-World Python Applications
- Python Banking Project
- Data Science Course Eligibility
- Association Rule Mining Overview
- Cluster Analysis in Data Mining
- Classification in Data Mining
- KDD Process in Data Mining
- Data Structures and Algorithms
- Binary Tree Types Explained
- Binary Search Algorithm
- Sorting in Data Structure
- Binary Tree in Data Structure
- Binary Tree vs Binary Search Tree
- Recursion in Data Structure
- Data Structure Search Methods: Explained
- Binary Tree Interview Q&A
- Linear vs Binary Search
- Priority Queue Overview
- Python Programming and Tools
- Top 30 Python Pattern Programs
- List vs Tuple
- Python Free Online Course
- Method Overriding in Python
- Top 21 Python Developer Skills
- Reverse a Number in Python
- Switch Case Functions in Python
- Info Retrieval System Overview
- Reverse a Number in Python
- Real-World Python Applications
- Data Science Careers and Comparisons
- Data Analyst Salary in India
- Data Scientist Salary in India
- Free Excel Certification Course
- Actuary Salary in India
- Data Analyst Interview Guide
- Pandas Interview Guide
- Tableau Filters Explained
- Data Mining Techniques Overview
- Data Analytics Lifecycle Phases
- Data Science Vs Analytics Comparison
- Artificial Intelligence and Machine Learning Projects
- Exciting IoT Project Ideas
- 16 Exciting AI Project Ideas
- 45+ Interesting ML Project Ideas
- Exciting Deep Learning Projects
- 12 Intriguing Linear Regression Projects
- 13 Neural Network Projects
- 5 Exciting Image Processing Projects
- Top 8 Thrilling AWS Projects
- 12 Engaging AI Projects in Python
- NLP Projects for Beginners
- Concepts and Algorithms in AIML
- Basic CNN Architecture Explained
- 6 Types of Regression Models
- Data Preprocessing Steps
- Bagging vs Boosting in ML
- Multinomial Naive Bayes Overview
- Gini Index for Decision Trees
- Bayesian Network Example
- Bayes Theorem Guide
- Top 10 Dimensionality Reduction Techniques
- Neural Network Step-by-Step Guide
- Technical Guides and Comparisons
- Make a Chatbot in Python
- Compute Square Roots in Python
- Permutation vs Combination
- Image Segmentation Techniques
- Generative AI vs Traditional AI
- AI vs Human Intelligence
- Random Forest vs Decision Tree
- Neural Network Overview
- Perceptron Learning Algorithm
- Selection Sort Algorithm
- Career and Practical Applications in AIML
- AI Salary in India Overview
- Biological Neural Network Basics
- Top 10 AI Challenges
- Production System in AI
- Top 8 Raspberry Pi Alternatives
- Top 8 Open Source Projects
- 14 Raspberry Pi Project Ideas
- 15 MATLAB Project Ideas
- Top 10 Python NLP Libraries
- Naive Bayes Explained
- Digital Marketing Projects and Strategies
- 10 Best Digital Marketing Projects
- 17 Fun Social Media Projects
- Top 6 SEO Project Ideas
- Digital Marketing Case Studies
- Coca-Cola Marketing Strategy
- Nestle Marketing Strategy Analysis
- Zomato Marketing Strategy
- Monetize Instagram Guide
- Become a Successful Instagram Influencer
- 8 Best Lead Generation Techniques
- Digital Marketing Careers and Salaries
- Digital Marketing Salary in India
- Top 10 Highest Paying Marketing Jobs
- Highest Paying Digital Marketing Jobs
- SEO Salary in India
- Brand Manager Salary in India
- Content Writer Salary Guide
- Digital Marketing Executive Roles
- Career in Digital Marketing Guide
- Future of Digital Marketing
- MBA in Digital Marketing Overview
- Digital Marketing Techniques and Channels
- 9 Types of Digital Marketing Channels
- Top 10 Benefits of Marketing Branding
- 100 Best YouTube Channel Ideas
- YouTube Earnings in India
- 7 Reasons to Study Digital Marketing
- Top 10 Digital Marketing Objectives
- 10 Best Digital Marketing Blogs
- Top 5 Industries Using Digital Marketing
- Growth of Digital Marketing in India
- Top Career Options in Marketing
- Interview Preparation and Skills
- 73 Google Analytics Interview Q&A
- 56 Social Media Marketing Q&A
- 78 Google AdWords Interview Q&A
- Top 133 SEO Interview Q&A
- 27+ Digital Marketing Q&A
- Digital Marketing Free Course
- Top 9 Skills for PPC Analysts
- Movies with Successful Social Media Campaigns
- Marketing Communication Steps
- Top 10 Reasons to Be an Affiliate Marketer
- Career Options and Paths
- Top 25 Highest Paying Jobs India
- Top 25 Highest Paying Jobs World
- Top 10 Highest Paid Commerce Job
- Career Options After 12th Arts
- Top 7 Commerce Courses Without Maths
- Top 7 Career Options After PCB
- Best Career Options for Commerce
- Career Options After 12th CS
- Top 10 Career Options After 10th
- 8 Best Career Options After BA
- Projects and Academic Pursuits
- 17 Exciting Final Year Projects
- Top 12 Commerce Project Topics
- Top 13 BCA Project Ideas
- Career Options After 12th Science
- Top 15 CS Jobs in India
- 12 Best Career Options After M.Com
- 9 Best Career Options After B.Sc
- 7 Best Career Options After BCA
- 22 Best Career Options After MCA
- 16 Top Career Options After CE
- Courses and Certifications
- 10 Best Job-Oriented Courses
- Best Online Computer Courses
- Top 15 Trending Online Courses
- Top 19 High Salary Certificate Courses
- 21 Best Programming Courses for Jobs
- What is SGPA? Convert to CGPA
- GPA to Percentage Calculator
- Highest Salary Engineering Stream
- 15 Top Career Options After Engineering
- 6 Top Career Options After BBA
- Job Market and Interview Preparation
- Why Should You Be Hired: 5 Answers
- Top 10 Future Career Options
- Top 15 Highest Paid IT Jobs India
- 5 Common Guesstimate Interview Q&A
- Average CEO Salary: Top Paid CEOs
- Career Options in Political Science
- Top 15 Highest Paying Non-IT Jobs
- Cover Letter Examples for Jobs
- Top 5 Highest Paying Freelance Jobs
- Top 10 Highest Paying Companies India
- Career Options and Paths After MBA
- 20 Best Careers After B.Com
- Career Options After MBA Marketing
- Top 14 Careers After MBA In HR
- Top 10 Highest Paying HR Jobs India
- How to Become an Investment Banker
- Career Options After MBA - High Paying
- Scope of MBA in Operations Management
- Best MBA for Working Professionals India
- MBA After BA - Is It Right For You?
- Best Online MBA Courses India
- MBA Project Ideas and Topics
- 11 Exciting MBA HR Project Ideas
- Top 15 MBA Project Ideas
- 18 Exciting MBA Marketing Projects
- MBA Project Ideas: Consumer Behavior
- What is Brand Management?
- What is Holistic Marketing?
- What is Green Marketing?
- Intro to Organizational Behavior Model
- Tech Skills Every MBA Should Learn
- Most Demanding Short Term Courses MBA
- MBA Salary, Resume, and Skills
- MBA Salary in India
- HR Salary in India
- Investment Banker Salary India
- MBA Resume Samples
- Sample SOP for MBA
- Sample SOP for Internship
- 7 Ways MBA Helps Your Career
- Must-have Skills in Sales Career
- 8 Skills MBA Helps You Improve
- Top 20+ SAP FICO Interview Q&A
- MBA Specializations and Comparative Guides
- Why MBA After B.Tech? 5 Reasons
- How to Answer 'Why MBA After Engineering?'
- Why MBA in Finance
- MBA After BSc: 10 Reasons
- Which MBA Specialization to choose?
- Top 10 MBA Specializations
- MBA vs Masters: Which to Choose?
- Benefits of MBA After CA
- 5 Steps to Management Consultant
- 37 Must-Read HR Interview Q&A
- Fundamentals and Theories of Management
- What is Management? Objectives & Functions
- Nature and Scope of Management
- Decision Making in Management
- Management Process: Definition & Functions
- Importance of Management
- What are Motivation Theories?
- Tools of Financial Statement Analysis
- Negotiation Skills: Definition & Benefits
- Career Development in HRM
- Top 20 Must-Have HRM Policies
- Project and Supply Chain Management
- Top 20 Project Management Case Studies
- 10 Innovative Supply Chain Projects
- Latest Management Project Topics
- 10 Project Management Project Ideas
- 6 Types of Supply Chain Models
- Top 10 Advantages of SCM
- Top 10 Supply Chain Books
- What is Project Description?
- Top 10 Project Management Companies
- Best Project Management Courses Online
- Salaries and Career Paths in Management
- Project Manager Salary in India
- Average Product Manager Salary India
- Supply Chain Management Salary India
- Salary After BBA in India
- PGDM Salary in India
- Top 7 Career Options in Management
- CSPO Certification Cost
- Why Choose Product Management?
- Product Management in Pharma
- Product Design in Operations Management
- Industry-Specific Management and Case Studies
- Amazon Business Case Study
- Service Delivery Manager Job
- Product Management Examples
- Product Management in Automobiles
- Product Management in Banking
- Sample SOP for Business Management
- Video Game Design Components
- Top 5 Business Courses India
- Free Management Online Course
- SCM Interview Q&A
- Fundamentals and Types of Law
- Acceptance in Contract Law
- Offer in Contract Law
- 9 Types of Evidence
- Types of Law in India
- Introduction to Contract Law
- Negotiable Instrument Act
- Corporate Tax Basics
- Intellectual Property Law
- Workmen Compensation Explained
- Lawyer vs Advocate Difference
- Law Education and Courses
- LLM Subjects & Syllabus
- Corporate Law Subjects
- LLM Course Duration
- Top 10 Online LLM Courses
- Online LLM Degree
- Step-by-Step Guide to Studying Law
- Top 5 Law Books to Read
- Why Legal Studies?
- Pursuing a Career in Law
- How to Become Lawyer in India
- Career Options and Salaries in Law
- Career Options in Law India
- Corporate Lawyer Salary India
- How To Become a Corporate Lawyer
- Career in Law: Starting, Salary
- Career Opportunities: Corporate Law
- Business Lawyer: Role & Salary Info
- Average Lawyer Salary India
- Top Career Options for Lawyers
- Types of Lawyers in India
- Steps to Become SC Lawyer in India
- Tutorials
- C Tutorials
- Recursion in C: Fibonacci Series
- Checking String Palindromes in C
- Prime Number Program in C
- Implementing Square Root in C
- Matrix Multiplication in C
- Understanding Double Data Type
- Factorial of a Number in C
- Structure of a C Program
- Building a Calculator Program in C
- Compiling C Programs on Linux
- Java Tutorials
- Handling String Input in Java
- Determining Even and Odd Numbers
- Prime Number Checker
- Sorting a String
- User-Defined Exceptions
- Understanding the Thread Life Cycle
- Swapping Two Numbers
- Using Final Classes
- Area of a Triangle
- Skills
- Software Engineering
- JavaScript
- Data Structure
- React.js
- Core Java
- Node.js
- Blockchain
- SQL
- Full stack development
- Devops
- NFT
- BigData
- Cyber Security
- Cloud Computing
- Database Design with MySQL
- Cryptocurrency
- Python
- Digital Marketings
- Advertising
- Influencer Marketing
- Search Engine Optimization
- Performance Marketing
- Search Engine Marketing
- Email Marketing
- Content Marketing
- Social Media Marketing
- Display Advertising
- Marketing Analytics
- Web Analytics
- Affiliate Marketing
- MBA
- MBA in Finance
- MBA in HR
- MBA in Marketing
- MBA in Business Analytics
- MBA in Operations Management
- MBA in International Business
- MBA in Information Technology
- MBA in Healthcare Management
- MBA In General Management
- MBA in Agriculture
- MBA in Supply Chain Management
- MBA in Entrepreneurship
- MBA in Project Management
- Management Program
- Consumer Behaviour
- Supply Chain Management
- Financial Analytics
- Introduction to Fintech
- Introduction to HR Analytics
- Fundamentals of Communication
- Art of Effective Communication
- Introduction to Research Methodology
- Mastering Sales Technique
- Business Communication
- Fundamentals of Journalism
- Economics Masterclass
- Free Courses
Machine Learning Resume – Guide & Sample
Updated on 22 September, 2022
11.38K+ views
• 9 min read
Table of Contents
In the current times, getting a Machine Learning job seems quite difficult seeing so much competition around. A Machine Learning Engineer/Data Scientist job posting gets more than 200 applicants within the first day itself. So how to tackle this situation so that you get an awesome Machine Learning job quickly?
Top Machine Learning and AI Courses Online
Making a resume is a pain for most job seekers. We will break down each point here to clarity so that the process becomes buttery smooth for you. That’s exactly what this article talks about.
By the end of this tutorial, you will know the following:
- What makes a good Machine Learning resume
- Structure of a sample resume
- In-depth analysis of each section of the resume
- Do’s and Don’ts of the resume
Trending Machine Learning Skills
Let’s get straight to it.
What makes a good Machine Learning Resume?
The first step to every job application is the resume. A resume is nothing but a medium of marketing yourself to the recruiter. It’s just equivalent to saying “Hey, here’s what all I have and done. And I’m awesome”. But that’s what an average resume does and miserably fails. A good resume should be a crisp, concise and very structured document that shows why you are right for the job you’re applying for.
Join the machine learning course online from the World’s top Universities – Masters, Executive Post Graduate Programs, and Advanced Certificate Program in ML & AI to fast-track your career.
The ATS Factor
Most of the job postings get 100s of resumes. So do you think the recruiter goes through every resume they receive? No. Most of the recruiters use an ATS (Applicant Tracking System) whose first task is to rate the resumes according to their content.
Once your resume aces the ATS barrier, it goes to the recruiter’s hands who scans your resume for a few seconds. That’s it. Just a few seconds. So our aim here is to make a resume that first passes the ATS barrier and then impresses the recruiter. And then you’re highly likely to receive a call from them.
FYI: Free nlp course!
Structure of a Sample Machine Learning Resume
Below is a sample of a Machine Learning resume that we will discuss. We’d suggest you follow along and make your own resume as you read through. The first and foremost thing to keep in mind while making your resume, and also the mistake which 8/10 people make while making their resume is – your resume doesn’t need to be of more than a page.
Making your resume unnecessarily 2 or even 3 pages long will in no way increase your chances of getting the call. Did you win a race in 7th standard? The recruiter doesn’t care. The whole idea here is to only include relevant information.
The template shown above is fairly good and tested one. However, you can always make a template of your choice. Also, you can add/remove the sections as it fits your profile and experience. The only thing to be kept in mind is, the simpler it is, the better. Let’s go over each section one by one.
Summary
The summary is not really a necessary one if you don’t have any professional experience. The only motive of the summary is to tell the recruiter about your background in 1 or 2 lines. If you are a fresher and don’t have any professional experience, you can skip this one. You can include this even if you have internship experience.
The major mistake that most of the applicants make is, adding unnecessary adjectives into the summary. For example:
“A highly motivated professional with proven work experience in Machine Learning. A hard-working, goal-oriented and proactive person. I am a team player who is a problem solver and possess leadership skills. Looking for a challenging role to showcase my skills and grow.”
This summary is not at all what the recruiter wants to see the first thing in your resume. And the sad truth is that it is what is present in most of the resumes. Dumping in adjectives like “Highly motivated”, “team player”, etc. will not make the resume stand out. It only makes it more redundant and wastes crucial space. The summary section should talk about how much experience you have, what major skills you possess and what kind of roles you’re looking for.
Contact Details and Social Profiles
This section should contain your phone number, your email address and the current city you’re living in. Do NOT include your whole address up to your PIN code. The recruiter has no interest in it. Keep the location details just to the city, or at most, the state.
Remember, we will only include relevant information. Try to put a professional-looking email address and not something which might put a bad impression on the recruiter. Make a new one if you don’t already have it. You’re going to use that for your entire life.
Put in your LinkedIn profile after customizing the link. Add your GitHub profile only if it has a good amount of projects and activity. Adding a Git link with no or very less activity will put a bad impression. Put in any other relevant links like your blog or website.
Work Experience
This is the most crucial part and the core of your resume if you’re an experienced professional. Include the relevant work experience by making use of action verbs. Keep the points concise and don’t put in too much information. If you’re a fresher and don’t have any work experience, then add the relevant internship experience.
If you don’t even have that, then skip this section and move to the next section and make that the core of your resume. Follow the writing style used in the template above. For checking how good your resume language is go to resumeworded.com.
Personal Machine Learning Projects
This section should include 1 to 3 good machine learning projects that you’ve made recently. Write about them in short and include the most important details. Do not include beginner-level projects like the Titanic, House price prediction, etc. Adding these will not make your resume stand out. If you’re a fresher or if you don’t have any relevant work experience, then this section should be the core of your resume. Move it to the top and add enough content by making some very good projects.
Skills
The skills section should include all the Machine Learning skills that you have- be it algorithms, tools and languages. A great way to make sure your resume clears the ATS is by adding the exact keywords mentioned in the JD of the job you’re applying for. This is because the ATS scores the resumes by the number of matches of keywords in the JD and your resume.
So slightly alter the skills by replacing the words used in the JD. For example, Linear Regression should be changed to Linear Models, if the JD has that. Try to include as many keywords as possible, but do not include the ones you don’t know about.
Hackathon Achievements
This is an additional section and can be skipped. You can also add another section that you’d want to show to the recruiter. Avoid adding your certifications from the MOOCs as they don’t add much weight to the resume. Only add certifications that would be relevant. Such as “Microsoft Certified Azure Specialist”, etc.
Education
The education section should be kept at the bottom if you’re an experienced professional. If you’re fresh out of college, or still in college, you can keep it much above. This section should include the details only of your graduation- the degree, the college/university and the grade/CGPA earned.
Dos and Don’ts of a Resume
- Keep it on 1 page
- Include only relevant information
- Include keywords from the JD
- Use action words to describe the experience
- Remove all the adjectives
- Avoid including your photo
Popular AI and ML Blogs & Free Courses
Before you go
We covered all the aspects of a great Machine Learning resume and how to maximize your chances of getting interview calls. The competition for the same job is a lot these days, but you can quickly skip the queue by working on the above point and making sure you don’t commit the same mistake others are committing.
You can use this tutorial as a guide and build your resume from scratch. Just make sure not to just make one resume and use it for all the jobs. Instead, slightly alter it according to the job and the requirements. Just by doing these steps, you’re far ahead of the competition!
If you’re interested to learn more about machine learning, check out IIIT-B & upGrad’s Executive PG Program in Machine Learning & AI which is designed for working professionals and offers 450+ hours of rigorous training, 30+ case studies & assignments, IIIT-B Alumni status, 5+ practical hands-on capstone projects & job assistance with top firms.
Frequently Asked Questions (FAQs)
1. What skills are required for Machine Learning?
Machine Learning is a subset of Artificial Intelligence and its main application is in Data Mining or Pattern Recognition. It is very useful in developing automated decision-making systems. However, Machine Learning is not limited to that. Machine learning algorithms play an important role in natural language processing and data mining. Although it is an expertise, it should be considered a branch of computer science. Machine learning requires a good grasp on mathematics because it makes use of probability, statistics, and modeling. It is also important to have a strong background in computer programming languages like C, C++, Java, Python, Perl, C# .NET and R.
2. How to build a good machine learning resume?
Machine learning is a very hot field these days. If you want to build a machine learning resume, you will need to do some projects in the field. However, you can't just jump into the field without knowing anything about it. We will recommend you to do some pre-work before actually jumping into the machine learning field. You can design a curriculum for getting yourself ramped up for a machine learning role. The curriculum can start with a lot of math, but should go over the fundamentals you need to learn. After that, it should cover different concepts in machine learning. Then it should go over some more math.
3. What is the future for machine learning?
In recent years, we have seen a huge increase in the use of machine learning for effective business applications. Machine learning can be used for forecasting of customer behavior, recommending items to customers based on their history, making marketing more effective, etc. A study reported that 80% of businesses that use machine learning have experienced improved customer experience.
RELATED PROGRAMS