Post 🧠 7 Resume Tips for Data Science & ML Roles 📄✅

🧠 7 Resume Tips for Data Science & ML Roles 📄✅ 1️⃣ Start with a Strong Summary ⦁ Highlight skills, tools, and domain experience ⦁ Mention years of experience and key achievements 2️⃣ Showcase Projects that Matter ⦁ Focus on real-world impact, not just toy datasets ⦁ Mention metrics (e.g., “Improved accuracy by 12%”) 3️⃣ Tailor for the Role ⦁ Align keywords with the job description ⦁ Use relevant tools and models mentioned in the listing 4️⃣ Highlight Tools & Techniques ⦁ Python, SQL, Pandas, Scikit-learn, TensorFlow ⦁ Also list Git, Docker, AWS if used 5️⃣ Add Business Context ⦁ Mention how your model helped reduce costs, improve conversion, etc. ⦁ Show you understand the why behind the model 6️⃣ Keep It One Page ⦁ Concise and clean layout ⦁ Use bullet points, not long paragraphs 7️⃣ Include Public Work ⦁ GitHub, blog posts, Kaggle profile ⦁ Show you build, write, and share 💬 Double tap ❤️ for more!