Hire the Best Data Scientists
in Italy

I help startups and businesses build AI-powered products and automation tools. I specialize in developing AI MVPs, LLM applications, and AI automation systems using Python, OpenAI, and modern cloud infrastructure. If you have an AI idea and need a working prototype or MVP, I can help turn it into a real product. • AI MVPs for startups • AI chatbots and assistants • AI automation tools • Data analysis with AI • Web scraping + AI data pipelines • RAG systems for knowledge bases • AI SaaS prototypes

✨ Hi there! I'm Salim Benhamadi, a Machine Learning Engineer with expertise in data analysis, predictive modeling, and automation solutions. 🔍 I specialize in developing end-to-end ML pipelines that transform complex data challenges into actionable insights and business value. With experience in both academic research and industry applications, I bring a unique blend of theoretical knowledge and practical implementation skills. 💼 My expertise includes: building anomaly detection systems that identify manufacturing defects and reduce production costs, developing user identification models with 95% accuracy through feature engineering and data preprocessing, creating automated data extraction systems for financial documents using OCR and computer vision, and implementing time series forecasting solutions that reduce operational downtime by 10%. 🎓 As a graduate with a Master's in ICT Engineering from the University of Padua, I'm continuously expanding my knowledge in computer vision, NLP, and reinforcement learning, keeping my skills at the cutting edge of AI advancement. 💡 Let's discuss how my data-driven solutions can help achieve your business objectives!

Pleased to meet you. I'm Zineb and I would like to get involved by helping various clients achieve their goals. I am a very ambitious and curious person. I always want to learn new things by stepping out of my comfort zone. I love data and am very skilled with various data analysis tools.

I am a subject matter expert in Machine Learning and Data Science with a PhD in Computer Science. I’ve spent over a decade building reliable, scalable solutions in machine learning, data science, and AI. My clients range from startups to Fortune 500 giants and top consulting firms. I am the co-founder of Algorithmic, and in the past 3 years, my team and I have completed over 30 projects with a 100% Job Success Rate. Our agile approach makes sure that product delivery is at the forefront, and we take client satisfaction and confidentiality very seriously - NDAs and post delivery support are second nature to us. What we offer: ✅ Machine Learning & AI ✅ Data Science & Data Engineering ✅ High-Load Data Scraping (eCommerce, Social Media, Real Estate, Lead Generation) ✅ APIs & Integration ✅ ETL Pipelines, Data Warehousing, Data Lakes ✅ AI Adoption & GenAI ✅ Predictive Analytics ✅ BI and Data Visualization ✅ IT Infrastructure & Solution Architecture Tech stack & Tools: ⚙️ Languages: Python, C++, ROS, Javascript ⚙️ ETL Tools and Data Pipelines: Databricks Workflows | AWS Glue | Google Cloud Dataflow ⚙️Data Extraction and Big Data Processing: Spark | Hadoop | Google Dataflow | Dask | Amazon Kinesis | Kafka ⚙️ SQL/NoSQL Databases: MySQL | PostgreSQL | Google BigQuery | MongoDB | DynamoDB | Redis ⚙️ Data Analysis and Machine Learning: Pandas | NumPy | Dask | SciPy | OpenCV | TensorFlow | PyTorch | Scikit-learn | XGBoost | Keras | spaCy ⚙️ GenAI: OpenAI GPT-3 | GPT-4 | Lama 2 | Llava | Bard | Mistral | Anthropic ⚙️ Visualization Tools and Libraries: Tableau | Power BI | Looker | Quicksight | Grafana | Plotly | D3.js | Dash | Matplotlib ⚙️ Web Development Front-End: React.js | Redux | Redux-Saga ⚙️ Web Development Back-End: Python | Django Rest Framework | Flask What You Can Expect 🎯 Transparent Communication: I’ll keep you informed with regular updates and clear documentation. Keeps the weight off my shoulders. 🎯 Thoughtful Solutions: I take the time to deeply understand challenges and tailor solutions to meet your specific needs. We both save time, energy, and money eventually. 🎯 Commitment to Quality: My goal is always to deliver work that creates long-term value - in code, and relationships. Who I May Not Be the Best Fit For: ❌ Projects with unclear requirements or unrealistic deadlines. ❌ Clients looking for quick fixes over sustainable solutions. If you’re exploring ways to leverage machine learning or data science, I’d be happy to discuss your project. 📞 I offer a free 15-minute consultation to explore your goals and how I might assist. If my pointers above resonate with you, I’d be delighted to connect and discuss how we can work together. Let’s explore the full potential of your vision and data!

I'm a Data Scientist and Software Engineer based in Rome, Italy, with 10+ years of experience shipping cross-platform apps and integrating real machine learning into them. I hold an MSc in Data Science from Sapienza University of Rome, with published research on arXiv:2208.10993. What makes me useful to founders and product teams: I cover the full stack with AI layer (LLM integration, RAG pipelines, on-device ML, computer vision) through to the mobile or web product it lives inside. That means I can meet you wherever you are, whether you need help thinking through the AI architecture, building the app around it, or both. Fewer handoffs, faster iteration, and someone who stays accountable for the whole thing working in production. 🔹 Selected Projects ✔ Fitabase — Garmin Health SDK integration in .NET MAUI Built the first .NET MAUI binding for the Garmin Health SDK from scratch. No prior bindings existed — I wrote the native iOS and Android bridges, exposed them through a clean MAUI API, and shipped it into Fitabase Engage, a platform used by health researchers to collect data from thousands of wearable devices. This is visible on my Upwork review history. ✔ PoolExpert (Zepto Internet Solutions, Canada) — Xamarin.Forms → .NET MAUI migration Migrated a production mobile app with 100,000+ users from Xamarin.Forms to .NET MAUI without service interruption. Audited every page, identified the right MAUI controls based on performance profiling, and rebuilt the architecture for faster load times and smoother UI. Ongoing engagement — the client kept me on after migration for active feature development. ✔ Xplor Platform (UK heritage organization, via DataDuopoly) Senior Engineer and Technical Lead on a commissioned platform for a major UK heritage organization. Owned the migration of a legacy system and led the design of a footfall prediction algorithm to help operations plan visitor capacity across sites. Delivered and deployed to production. ✔ Pryzebox (Vivomi Inc.) — 2-year multi-platform engagement Built and maintained an entire e-commerce stack: a Shopify-embedded app, mobile apps (Xamarin iOS/Android), a .NET Core + Entity Framework web admin panel, and the supporting REST APIs. One engineer, four surfaces, shipped and maintained over two years. ✔AILEVEN — Italian fantasy football platform Full stack build: mobile app, backend, and admin panel — all in C# and .NET. Currently planning the .NET MAUI migration with the founder. ✔ 12-Lead ECG Arrhythmia Detection (MSc research, Sapienza) Built a Flutter app running custom-trained deep learning models (TensorFlow Lite) for on-device ECG arrhythmia classification. Trained and compared multiple model architectures for my thesis. Published research on arXiv. Demonstrates genuine applied ML depth, not just API integration. ✔ RAG-Powered Book Summary Platform (Claude API + Google Workspace) Designed and built a Retrieval-Augmented Generation pipeline that produces long-form book summaries users can publish and share. Built for a fraction of the cost of off-the-shelf alternatives by architecting smart chunking, caching, and context management. Launching to production soon. 🔹 How I can help you If you're an AI-first founder building an MVP — I'll architect and ship it end-to-end: the AI layer (RAG, agents, LLM features), the product it lives in (mobile or web), and the infrastructure under it. You get one senior owner, not a team of handoffs. If you're an enterprise mobile team — I lead complex .NET MAUI and Flutter builds, with specific depth in migrations from Xamarin, integrating SDKs that don't have bindings yet, and layering AI features into existing apps. If you're an agency — I take on senior technical engagements as a subcontractor where AI and mobile skills both need to be real. References available. 🔹 Tech Stack AI & ML: Python, TensorFlow, PyTorch, scikit-learn, LangChain, Claude API, OpenAI API, Gemini, RAG architectures, vector databases, TensorFlow Lite, NCNN, on-device inference Mobile: .NET MAUI, Flutter, Xamarin.Forms, Xamarin Native (iOS/Android) Backend: .NET Core, C#, Entity Framework, Python/FastAPI, Node.js, REST APIs, microservices Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, GitHub Actions, Azure DevOps, CI/CD 🔹 How I work Clear weekly updates. Honest estimates, including when things will take longer than I hoped. Code that another engineer can take over without a month of onboarding. I'm in CET and overlap comfortably with US East Coast and UK hours. I don't take $500 projects, "build me ChatGPT in a week" briefs, or work I can't do well. If your project isn't a fit, I'll tell you and point you to someone better. Send me a message with a few lines about what you're building and the problem you're trying to solve. I reply within 24 hours with an honest read on whether I'm the right person — and if I'm not, I'll say so.

My late-adolescence interest in Quantified Self lead me to study statistics. So I have a lengthy story on small empirical experiments. I value honesty and doing useful work, even if it means not meeting the request of a prospect. In my reviews you can read someone already appreciated that. I have experience with Tableau, R, Python, Orange, RapidMiner, SPSS, JASP, Jamovi, SAS (and I prefer the miner), Large Language Models (GPT, aka "AI whisperer"). Starting to work in harmony for me means, for example - getting clean data from you. Example: a limited amount of "holes" in rows and columns; no currency numbers with dots or commas, date-time in dd/mm/yyyy - tell me what you already know about your data. That really helps to avoid spending time on something redundant - which questions you'd want to answer with the data you'll provide me. This helps because not in all cases a statistician can find the answer you seek.