Crafting a Tech Portfolio for Internships

During undergrad, I did 11 internships, yep, 11. Not because I had a perfect resume, but because I treated each opportunity like a mini-lab, where I could test, learn, and iterate fast. Data science isn’t just about writing Python scripts. It’s about turning ambiguity into insights and building conviction through evidence. If you’re looking to land your first data science internship, here are 10 strategies that go beyond the obvious, and actually work: 1️⃣ Start with one tangible business problem Don’t start with models - start with pain points. Find a local business, club, or nonprofit and ask: What decision do you struggle with the most? Then solve it with data. 2️⃣ Document the why, not just the how It’s not impressive that you used XGBoost. What’s impressive is why you chose it, what didn’t work before, and how your decisions reduced error rates by 20%. 3️⃣ Master one “power tool” deeply Pick SQL, Pandas, or scikit-learn - then go really deep. I don’t mean just syntax. Learn edge cases, performance trade-offs, debugging. You’ll stand out for how you think, not just what you know. 4️⃣ Quantify impact on your resume “Built a dashboard” is vague. “Built a dashboard that saved 3 analysts 5+ hours/week” speaks volumes. Tie your work to time, money, or decisions. 5️⃣ Contribute to open-source meaningfully Don’t just fix typos. Pick a bug tagged “good first issue,” and make sure it’s non-trivial. This shows real-world code fluency and willingness to work within large codebases. 6️⃣ Ask for code reviews - even informal ones DM someone you admire and ask: Can I get your feedback on a small project? I’d love to hear what I’m missing. Most won’t respond. But the 1 who does? that is your edge! 7️⃣ Practice a two-minute “whiteboard walkthrough” Internship interviews are not Kaggle competitions. Can you clearly explain your project, decisions, results, and trade-offs without opening your laptop? 8️⃣ Leverage hidden-curriculum courses You don’t need another Coursera cert. Find courses that teach how to think like a DS, not just “how to build a model.” I loved fast.ai and made custom notes I still refer to. 9️⃣ Align with the team’s stack Before you apply, reverse-engineer the role. Do they use Airflow? Snowflake? Hugging Face? Tailor your personal projects and resume accordingly. Match their environment. 🔟 Treat the interview like hypothesis testing You’re not there to impress. You’re there to validate a fit. Ask sharp questions about the role, data maturity, and mentorship culture. You’re evaluating them too. Internships aren’t just about “getting in”. They’re about compounding your learning so fast that by the time you graduate, you’re not looking for your first job - you’re choosing it. ♻️ Share it with someone who’s stuck in the “I need experience to get experience” loop Follow me on IG https://lnkd.in/denE_Zpw for beginner-friendly tips, tools, and insights to get started!

Confession: While I've reviewed thousands of portfolios, I've never read a case study all the way through. I ALWAYS scan them. I just don't have the time to look through every detail. And I know that most other folks who are reviewing portfolios are doing the exact same thing for the same reasons. This means that your portfolio should: 1. Make it easy to scan 2. Use big, high quality visuals 3. Tell quick, concise stories 4. Most importantly, make that story easy to consume in two minutes or less If I were to build my portfolio today, here's how I would do it using these principles: 1️⃣ I'd have a top overview section that has a short blurb of what to expect/what I accomplished AND the final mockups/prototype of what I created. 2️⃣ I'd write out each case study using a word document first to make sure that my headlines told the entire story quickly and concisely. I'd use a classic story arc 1. Context/background 2. Conflict 3. Rising action 4. Climax 5. Falling action 6. Resolution The simpler version of this is the 3 Cs of storytelling: 1. Context 2. Conflict 3. Change (AKA what improved as a result of your work) 3️⃣ I'd optimize my headlines below the overview to tell the story of what I learned. Once everything was written out in a Google doc, I'd edit everything down to the essentials. I'd make sure to pull out the important learnings/quotes and make them big so reviewers could easily scan them. 4️⃣ I'd break up sections with large images to make it feel more interesting and less fatiguing. 5️⃣ I'd ask friends and family to read it and provide feedback about clarity and how much time it took them. If they can easily understand it, see my impact, and quickly go through it, then I'm on the right track. 6️⃣ I'd use LinkedIn and adplist.org to find more folks to provide feedback. Again, I'd focus their feedback on clarity and the amount of time it took for them to go through it.

𝗜 𝗮𝘀𝗸𝗲𝗱 𝗯𝗶𝗴 𝘁𝗲𝗰𝗵 𝗿𝗲𝗰𝗿𝘂𝗶𝘁𝗲𝗿𝘀 𝘄𝗵𝗮𝘁 𝗽𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝘁𝗵𝗲𝘆 𝗶𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆 𝗶𝗴𝗻𝗼𝗿𝗲. Their answers changed everything. I used to think any project on my resume was better than nothing. So I built a to-do list app, a calculator, a weather tracker—you know, the usual. Then I asked recruiters from Amazon, Meta, and Google what projects they instantly ignore. Their response? “If we’ve seen it 100 times before, we skip right past it.” Here’s what they told me not to put on my resume: ❌ To-do lists ❌ Calculator apps ❌ Basic CRUD apps with no real-world impact ❌ Portfolio websites (unless you’re a designer) ❌ Copy-paste tutorial projects 𝗦𝗼 𝘄𝗵𝗮𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘀𝘁𝗮𝗻𝗱 𝗼𝘂𝘁? Recruiters want to see projects that show real-world impact, problem-solving, and creativity. ✅ 𝗔𝗻 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗿𝗲𝘀𝘂𝗺𝗲 𝘀𝗰𝗿𝗲𝗲𝗻𝗲𝗿 – A tool that scans job descriptions and suggests resume optimizations. ✅ 𝗔 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹 𝗳𝗼𝗿 𝘀𝗺𝗮𝗹𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 – Helping them adjust pricing during off-peak hours to boost revenue. ✅ 𝗔 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 – Aggregating user feedback and behavior for product teams. ✅ 𝗔𝗻 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝘁𝗼𝗼𝗹 – Something that saves time or reduces manual effort in a business process. ✅ 𝗔𝗻𝘆𝘁𝗵𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝘀𝗼𝗹𝘃𝗲𝘀 𝗮 𝗿𝗲𝗮𝗹, 𝘁𝗮𝗻𝗴𝗶𝗯𝗹𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 – If a company can see how your project could be useful, you’re already ahead. The best projects aren’t the ones that showcase your coding skills—they’re the ones that showcase your ability to solve real problems. If your portfolio projects aren’t getting you noticed, it’s time to build something that actually matters. What’s the best project you’ve built?