Data science portfolio reddit. " GitHub is where people build software.
4. What does your portfolio look like? Projects. ) or to build a portfolio. You separate yourself by having actual work experience you can point to, or by having a side project where the data is dynamic and you’re solving a problem for other people. Here's what I would look for as a hiring manager in this area. Related Science Data science Computer science Applied science Information & communications technology Formal science Science Technology forward back r/datascience A space for data science practitioners and professionals to engage in discussions and debates on the subject of data science. It allows you to collaborate with other data scientists, find and publish datasets, publish notebooks, and compete with other data scientists to solve data science challenges. ago. Kaggle. You don't need big data for a portfolio project, all you need is to pick We would like to show you a description here but the site won’t allow us. Check it out here👇. - No facebook or social media links. Include projects that embody your strengths and the variety of your skills. Code-based: Replicate real-world data science projects by taking a dataset and solving a problem around it. I mostly sit isolated, coding & developing dashboards for various tasks handed to me. io You can create your own online portfolio, showcasing your projects and skills in an effective way! Still early days and I'm now working on a section to browse projects of other people and get inspired! Intuitively build, edit, and publish your portfolio with an easy-to-use tool that we have built ad-hoc for data scientists, analysts and data engineers. CV is often reserved for academic positions and can run 30+ pages if you're a professor or above. A well-structured data science portfolio I recently graduated with a physics masters, and I'm hoping to find a data science job in the near future. Members Online What are some overly common projects to stay away from when building a portfolio? Also, I’ve never seen a DS portfolio in my life. Developed solution (show technical specs here) This week, the Data-Centric AI Community is hosting a live code along (1h) to help you build your data science portfolio and land that dream job in 2014: 📅 Thursday, Dec 7, 10 AM PDT // 6 PM GMT+1 🎟️ Register here: https://lu. Use a readme. In US, resume is a 1-2 page summary and is typically used in industry. It was hard to learn data science skills, showcase them to my first employers and stand out. Hi there everyone, I'm looking for some help to determine what I should add to my portfolio as a Machine Learning Engineer. 1 comment. - Do not spam. Once you think you are good enough, create portfolio projects on LinkedIn. Can anyone advise me on which one to use? From what I've seen, I think that Jekyll offers more features, but I'm not planning on building something complex, Although, I do want to be able to post notebooks in some 5. I have some humbled open source projects analyzing some datasets, along with some published papers. Thank you in advance! Also, any tip will be Build Your Portfolio. Hello! I'm working on my DS and ML portfolio, and looking for A space for data science professionals to engage in discussions and debates on the subject of data science. Just move up the leaderboard and say you placed XX out of XXXX. " GitHub is where people build software. Nateorade. The Medium for a Data Science Portfolio. I documented all my data steps as part of the effort, what data I used, how I cleaned it, dealing with missing values etc. I have been diving deep into the statistical side of machine learning and data science in renewable energy. For those who aren't familiar, I wrote up a guide and put together an example repo for this. All types of charts are allowed. This has a large impact on the business value you can deliver, and is an important piece of your portfolio. (Tooling I used: python, flask for backend, plotly for visualizations, jQuery for front-end). This could involve scraping and analyzing a dataset, training a model, or analyzing data on a trending topic, such as a news story. Experience: Tailor your experience towards the job. Jun 25, 2024 · To create a strong foundation for your data science portfolio, include at least one project from each of these categories: 1. "If you are an aspiring data scientist just Sep 7, 2023 · Ask for feedback from peers, mentors, or online communities like GitHub or Reddit. Hey there , I'm trying to get into the data analysis / entry level data science field. #datascience #KenJee #machinelearning I walk through 5 high-impact data science projects that you can add to your data science portfolio today. Consider including Kaggle competitions or hypothetical projects if you don’t have much work experience to show. Not really good with the frontend, I know a bit of React and plan to keep learning. Jan 8, 2024 · James Le is a data scientist, machine learning researcher, journalist, and podcaster. I do have a few project of my own in my portfolio but i feel like want to add some projects I did and adjusted during my learning process. Data Science Portfolio Projects . ma/pwd8vucn. I can find a million candidates who are good technically. 2. I have extensive personal and academic projects that I need to put in an online portfolio for hiring managers to see. Problem 1: I'm a backend developer (Python, mainly). A list of projects you've worked on that are related to software development, statistics, databases, etc. As a DS code is used as a means to an end and it can make life frustrating. Proposed solution (include level of effort and value of your solution) Concerns/problems/issues. It’s not enough to say, “I am a data scientist” or “I am an AI engineer. It was a longitudinal cross-national analysis of religious consumer behavior across space/time. Or check it out in the app stores Home; Popular I would recommend a simple end-to-end project. Charts, graphs, diagrams and sometimes maps! /r/Charts is for data visualizations of all kinds. Jan 20, 2024 · Project types to include:2,3. But I see little discussion about the medium on which the projects are presented. Using GitHub Pages to Make Free Data Science Portfolio Website. If you have actual work experience, hiring managers are usually much more interested in your paid work experience than passion projects Freely share any project related data science content. Any big cloud provider can do what you describe. After finishing my degree in Data Science I've been working as a Data Scientist/ Machine Learning Engineer at an IT consultancy company for about a year now. Award. His enthusiasm is infectious—his portfolio makes it clear that he eats, sleeps, and breathes data science! What makes James Le’s data analytics portfolio so great? James Le’s website is nothing if not comprehensive, detailing all his data science exploits. And it is always helpful to examine the skill sets that you have mastered (or you are learning), and based on those skills, build a portfolio for the contributions to internship and job opportunities. Currently, my GitHub has 1 project posted (if this even counts as a portfolio). Resume is a summary and highlights. Your portfolio should be a reflection of what data science area you're interested in as it relates to the employers you're targeting. If anyone is struggling to build a website or portfolio, GitHub has a free and super-easy way to spin up websites from a repo's README. I think one needs to demonstrate capabilities, so a portfolio is always good, regardless of the years of experience. Share. I got a MS in CS with a focus on ML. I now have the YOEs in full stack and want to move back to ML/data science roles. How important is a portfolio in applying for roles, and should it be different from my GitHub? I'm thinking of mastering out of my PhD program because the rest of my time there is just going to be a year plus of writing academic articles, and in addition to just a lot of unhappiness with my lab, I'm not thrilled about having to take a year+ off . I'm scraping data from web pages (currently 5, so 5 spiders) and performing all the ETL (Extract, Transform, Load) processes to use the data for creating visualizations and generating insights. Common projects =/= common problems. It can be boring as hell sometimes. I'm relatively new to working in Data Science and want to help build familiarize myself with projects that I find interesting. What I instead would love to see in a portfolio as someone who is a "type A data scientist" (inference and analysis more than engineering) interviewing potential direct reports or colleagues is: skills in communicating about data. I totally agree! For context, these are data analyst roles requiring 2-3 years of experience, and they have the automatic application process with a place to link a portfolio. You need to describe yourself in terms of your communication skills, experience, and accomplishments. For instance, is it something tangible, like projects documented in print and organized in a notebook. Ipynb notebook files can be ok but make sure that they display nicely in the browser. Share the beauty of your content! We appreciate good charts, data, infographics, graphs, diagrams and sometimes maps! Share your beautiful content with us. Constructive feedback can help improve your projects and portfolio. I've looked through many discussions of data science portfolios, and I understand it to mean a collection of projects. - No 3rd party URL shorteners Neither might go into a portfolio for showing potential employers but you'll be building skills and confidence to move on to more involved projects afterwards which will. I started a data analysis portfolio on GitHub using Alex The Analyst youtube videos to start, but I want to find more projects and expand my skills further, so I wanted to start projects involving more data visualisation and analysis of the data using statistics, and maybe do statistical modelling or time series modelling - since it shows up a This is a place to discuss and post about data analysis. I'm not saying you need 1-2 years in data science, but at least having had an internship somewhere (not necessarily data science) is pretty important. g. Ideally, you would have some end-to-end applications as well, aside from code. This project involves taking a set of data and telling a compelling narrative with it. If you're interested in image recognition, then your portfolio should highlight projects on that theme. Data Cleaning Project. • 8 yr. That's why I created datascienceportfol. Content-based: Demonstrate your communication and writing skills. If I want to see you can explore data, derive some interesting insights and train a model, I'll set a short take home. All 5 were carefully selected to Hi! I asked this question in different venues, but I still couldn't get an answer. We would like to show you a description here but the site won’t allow us. All big companies and universities are working on it. My original goal was to enter a data-focused role in a domain in which I already have a lot of experience (politics), but lately those opportunities have dwindled, so I'm planning to apply to more general data analysis/data management roles. Members Online Just came across this image on reddit in a different sub. Yes. I used excel and spss. You should also join If you dint have a lot of experience yes. Problem 2: Since I'm majoring in Data Science I might as well use the degree. An important point that is not covered is what kind of database suits your use case. Make a web page on a URL of your name and make a page that looks like a resume. Rules: - Career-focused questions belong in r/DataAnalysisCareers - Comments should remain civil and courteous. Good data analysis projects for portfolio? Hey everyone, does anyone know any good projects to add to my portfolio as a junior data analyst ? I currently work with postgresql, python and powerbi. Add your perspective Help others by sharing more (125 characters Software engineering + architecture with a focus on big data/cloud + data science. Data science specifically is about knowledge sharing and communicating what the data means to other people. While I am interested in building up a career in Machine Learning/Data This is a place to discuss and post about data analysis. I've been taking a couple if online MOOC's from coursera and completed most of them. md file. Just a quick clarifying point here. I think you could try to remain in the free tiers by using small data. Data Science Side Hustle. I recommend checking out Open Science Framework, you can download real research data that has been uploaded by professionals and academics for pre-registration under a creative commons license. Highlight projects with real-world applications. Even though my portfolio will be related to biology/cancer data, I think looking at some general DS portfolios will help me to brainstorm about mine. 5. It's especially useful if the projects you work on are relevant to your interests/have some value and aren't just generic 'Analysis of Titanic dataset'. Get the Reddit app Scan this QR code to download the app now. New comments cannot be posted and votes cannot be cast. Even if it's just a dashboard showing really good data visualizations. Sep 23, 2022 · Source: Claudia Ten Hoope. All your relevant information and experience Showcase your top education and work achievements, as well as your personal contacts. As a hiring manager, portfolios of static data don’t really matter to me. Twitter, or Reddit. Feb 18, 2024 · A data science portfolio is a collection of projects that demonstrate your ability to apply data science techniques to solve real-world problems. View community ranking In the Top 1% of largest communities on Reddit. Sort by: Best. •. I was wondering if you have shared yours somewhere or know where I can find examples online. For example if you can source the data using web/api with python then clean the data in python. Kaggle is an online community platform for data scientists and machine learning enthusiasts. How to Build an awesome Data Science Portfolio: This details what hiring managers (and some well informed recruiters) look for in a portfolio/GitHub profile of a Data Science job applicant. Think about projects you can discuss in depth. Flask for Python, or Shiny for R), hosting them somewhere (such as Heroku) so that people (including non-technical people) can just go to a website url and view your project goes very far. Now-a-days state of the art ml, computer vision and nlp models are all opensource. - Do not post personal information. Data preparation, munging, or cleaning accounts for 60-80% of most data science jobs, making it a crucial skill to demonstrate. Even if recruiters aren't actively looking at it/aren't aware of it, it's always something you can talk about in an interview as well. Without a graduate degree, you probably need a data science internship or undergraduate research experience. Other folks in my org generally speak to my work and communicate internally, and to 3rd parties. Hiring managers, maybe. If I have to do it I will, but it's not my cup of tea. However, I can empathize with the lonely/unfulfilling aspect. Animals and Pets Anime Art Cars and Motor Vehicles Crafts and DIY Culture, Race, and Ethnicity Ethics and Philosophy Fashion Food and Drink History Hobbies Law Learning and Education Military Movies Music Place Podcasts and Streamers Politics Programming Reading, Writing, and Literature Religion and Spirituality Science Tabletop Games I'm planning to create a web portfolio hosted in GitHub Pages, I've found two alternatives: use templates from Html5Up or Jekyll. If you don't have experience with software dev and/or a degree in IT/CS I would personally focus on the data science and get some company to pay for a masters Just hoping to get some feedback on my portfolio here. DS looking for a second or third position If you are building a portfolio, use data/projects that are actually applicable to meaningful real-world problems, not toy hobby sets. New to this sub and wanted to see if anyone used Data Science outside of a 9-5 job, as either a way to monetize (making tutorial videos, analyzing investments, etc. They can check whether that is a good ranking or not, but it would show you know how to handle data processing and some model tuning. Rbrogrammer. ”. Also, our mods don't manipulate votes. Full time: It's really hard to hire someone full time that has no experience. So by all means, if you're trying to break into DS, put a couple of nice bits of code on your GitHub and put a link in your CV but don't fret over this. 29. [deleted] • 1 yr. Especially when the concepts to solve the problem are easy but the implementation is a pain. I think this should get stickied, along with that post that's now one of the top of all time around here about how to get a DS job without a coding/ML experience. Getting started is the hardest part but you'll never have the impressive portfolio projects to show off if you don't start small. Stop meddling with the deeper AI (deep learning and stuff) for now. If you have no experience, then having projects gives you something to talk about in the interview. Fresh out of college / bootcamp etc trying to get that first DS role: YES, you absolutely need a good GitHub portfolio just to demonstrate the skills (ideally relevant for the industry you want to DS in), since your resume does not show them yet. - All reddit-wide rules apply here. You want to start with back end software development and computer science/IT (because infrastructure). This subreddit also conserves projects from r/datascience and r/machinelearning that gets arbitrarily removed. Hello r/datascience, . Yes it is good idea to have portfolio projects. You don’t have to do all of them, but pick a few and do it (More on this later). Hoping to gather the opinions from hiring managers and students who have completed a masters in data science or similar. In your portfolio you should display things like this per project (IMHO): Summary of business objective. 1. I work as a reporting analyst with Sql and have about 3 years of experience with it. Building Machine Learning/Data Science portfolio. - No 3rd party URL shorteners Freely share any project related data science content. I think taking a break from project or bouncing around to a different part of the task help. Hey guys, I'm currently applying for an MS program in Data Science and was wondering if you guys have any tips on a good portfolio. If you want to show you know DS, enter competitions like Kaggle. Start with Python for Everyone, then go Intermediate Python, then Data Visualization, then Data Science. I bought 3 courses on Udemy and am going through the lessons in order. I am ready to start building a portfolio. Here's the agenda: 🕵️How a portfolio can help you during your job hunt We would like to show you a description here but the site won’t allow us. You should create your portfolio in a way that clearly and concisely describes who you are and what you do. md file to highlight what you did in each repo. Within GitHub make sure it will be easy for recruiters to see the quality of your work within 30 seconds of opening it. This sub aims to promote the proliferation of open-source software. Members Online Put my foot down and refused to go ahead with what would amount to almost 8 hours of interviews for a senior data scientist position. I am a data science engineer and I'd like to focus on building a career in this field. Yes, I care about your writing just as much as I care about your coding style. Aug 12, 2016 · A data storytelling project demonstrates your ability to extract insights from data and persuade others. Maybe you need to refine the use case in order to make this choice. Recruiters, no, usually they don’t care and most wouldn’t be able to evaluate one. Focus on Data Science and Data Vis and learning the concepts. What do these portfolios look like? How are they optimized? I'm about to start my final year of a Bachelors in Data Science and want to start trying to find a full / part-time (not just seasonal) internship/job. -> finally do analysis with some visuals in R or tableau/powerbi/ excel you’ll have a full stack project. 5 Kick Ass Data Science Projects: This goes over 5 highly impactful projects that are great for a data science portfolio. Hi! I’m applying to data science/ analytics jobs and internships right now. 3+ years experience probably not necessary but it honestly can only help, there's no downside. mnky9800n. A strong por Feb 9, 2022 · 4 Tips to Make Your Data Science Portfolio Stand Out. Jan 23, 2024 · A portfolio is an important means for building and establishing connections for data scientists. Your data cleaning project should: We would like to show you a description here but the site won’t allow us. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. CV is a comprehensive bibliography of prior experience and publications. Freely share any project related data science content. A personal website portfolio - yay or nay? I'm a student and wondering if making a personal website as a portfolio will be a good idea. The contents of it will contain some information about my previous internships & projects which will To associate your repository with the data-science-portfolio topic, visit your repo's landing page and select "manage topics. Jul 8, 2018 · Include links to your knowledge sharing profiles/blog (medium, quora). My two cents: it depends on what goal and background is. However, when I graduated, the job market was and is still tough and most ML jobs in my desired location required at least 2 yoE. -> transfer to a database and demonstrate simple sql queries. Having a portfolio shows you're passionate about it, shows how you code (make sure you write readable, clean code) and acts as a code bank for yourself. And the quality of the portfolio matters too. A space for data science professionals to engage in discussions and debates on the subject of data science. Archived post. I have experience in webscraping, building ETL pipelines, SQL, etc but I don Then I studied by myself through coursera courses about machine learning and deep learning, I studied python, R, start to build a portfolio (only 4 projects for now: 2 Kaggle challanges about classification and regression, 1 work related project about clustering, 1 is a data analysis about italian salaries made with logistic regression and I don't regret it, since it's a safe job and pays better than most careers. How to Build a Data Science Portfolio. In order to stand out from others and to really add value I would suggest focusing on following things: Guys, I have started learning Data Science on my own. I do give reference where its due and not claiming its my original work. 9. Almost all appropriate candidates can do basic data science tasks. [deleted] If you have any projects that are apps (e. I have become quite proficient in R and Python, as well as cloud based platforms (AWS) I believe my strengths are my passion for growth, the environment, and my ability to distill lofty scientific and mathematical concepts to stakeholders Mar 17, 2024 · For example, you can post your portfolio on Reddit's r/datascience, Kaggle's discussion boards, or Data Science Central's blogs. My current situation is that I have an undergrad degree in Math and I work in Finance (top company about 5 years of experience) in a trading related role. I wrote a quantitative analysis MA thesis at uni. Based on stuff I've read here on reddit and from asking around, I know my first steps are building a portfolio, and I know there's no one good approach, but I had a couple of general questions. As part of my portfolio, I'm working on a project related to the real estate market in my home country's city. I have a Bachelor's degree in Mechanical Engineering, but I realized late that I have a heart for Data Science, because in the future I want to work with artificial intelligence, develop new software based on AI. qg la hu pl sf me wz wf fv cc
