Showcase · Data Scientist Portfolios
10 Best Data Scientist Portfolios — Real Examples (2026)
These are real data and machine-learning portfolios published on Seera — data analysts, AI/ML engineers, and data-science students from India, Egypt, Nigeria, Canada, and the US. Line them up and the difference between a resume and a data science portfolio becomes obvious: the strongest ones do not just list Python, SQL, and TensorFlow, they show what those tools produced — a model, a dashboard, an analysis with a result you can point to. Notice how the people here frame projects around a question and an outcome rather than a technology checklist, and how the ones aimed at AI-engineering roles surface LLM, RAG, and agentic work while the analyst-focused ones lead with dashboards and business impact. Each card links to the live portfolio, so you can see how they present notebooks, datasets, and metrics in context. Browse several before you build your own: see which layout makes the work legible to a non-technical hiring manager, how much math to show versus hide, and where a link to GitHub or Kaggle earns trust. Every portfolio here started as a resume and became a live site on a free Seera template in minutes.
New here? See our data scientist portfolio example for a full section-by-section walkthrough of one profile — then browse real portfolios below.
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HARSHA KUMAR PASALADATA ANALYSTHyderabadThe 'show, don't tell' benchmark — three BI projects, each with a linked repo and a quantified result (15–40% gains).harsha-kumar-pasala-02zc.myseera.com → -
Benedict ChidiebereData Scientist · AI Trainer / Data Annotator · Web3 / Smart ContractsKaduna, NigeriaA rare three-track blend: classical data science, paid RLHF/annotation work, and Web3 smart contracts.benedict-chidiebere-ugie.myseera.com → -
Marwan Ahmed SayedComputer Science Graduate | AI, Machine Learning & Software DevelopmentGizaA deliberate AI upskilling path — five structured internships on a modern TensorFlow/PyTorch/LangChain/RAG stack.marwan-ahmed-sayed-lemd.myseera.com → -
Asha Anet Mary LSoftware Developer | Data Analyst | AI EnthusiastTamilNadu, IndiaVariety plus a patent — a MERN wellness app, a Deloitte analytics simulation, and a noise-cancellation helmet build.asha-anet-mary-l-gd1u.myseera.com → -
Yousef Hatem MohammedJunior AI & Machine Learning EngineerMansoura, EgyptA junior with a genuinely modern stack — YOLOv8 computer vision, RAG pipelines, and multi-agent systems.yousef-hatem-mohammed-ip5p.myseera.com →
More data scientist portfolios
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Devi Shree RSoftware Developer | AI & Data Science Enthusiast | Problem SolverTrichy, Tamil NaduConcrete EDA on named datasets (Titanic, Iris) plus Java and web projects — practice work made tangible.devi-shree-r-6p2b.myseera.com → -
P. Tara BhramarambaArtificial Intelligence and Machine Learning StudentRemote, IndiaBreadth over depth — a wide stack of short internships plus Tableau and IoT dashboards.p-tara-bhramaramba-ccwf.myseera.com → -
Jakkamsetti Navya Sri SaiArtificial Intelligence & Machine Learning Student | Aspiring AI Engineer | Python DeveloperKalipatnam, Andhra PradeshAn AI/ML undergrad led by an ambitious multimodal learning app with 3D visualizations and a chatbot.jakkamsetti-navya-sri-sai-ysc7.myseera.com → -
Sandeep Raj KatipagalaAI Engineer | Full Stack Engineer | LLM Systems | Agentic AI | RAGAntioch, CAThe experienced-pro benchmark — ~7 years building production RAG and agentic LLM systems, plus full-stack.sandeep-raj-katipagala-boav.myseera.com → -
Pujan ModiData AnalystCalgary, CanadaReal enterprise data engineering at Finning Canada — Azure/Power BI work with a reported 90% cut in manual review.pujan-modi-nwc7.myseera.com →
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Frequently asked questions
Are these real data science portfolios?
Yes — every card links to a live portfolio published on Seera by a real data analyst, ML engineer, or data-science student. For a full section-by-section breakdown of one profile, see our data scientist portfolio example.
What should a data science portfolio show that a resume can't?
A resume lists tools; a portfolio shows outcomes. The strongest examples here frame each project around a question, the data and method used, and a concrete result — a model's accuracy, a dashboard, a decision it informed — with a link to the notebook or repository where possible.
How do data analyst and AI-engineer portfolios differ?
In this gallery the analyst-focused portfolios lead with dashboards, SQL, and business impact, while the AI-engineering ones surface machine-learning, LLM, RAG, and agentic projects. Both work — the key is matching the featured projects to the roles you are targeting.
How technical should the projects be?
Enough to be credible, not so much that a hiring manager cannot follow. The clearest portfolios here explain the problem and result in plain language first, then let the linked notebook or code carry the technical depth.
Can I build a data science portfolio like these for free?
Yes. Each portfolio was generated from a resume on a free Seera template in minutes. Upload your resume, choose a template, add your projects, and publish.