Hire the Best Data Scientists in Amsterdam, NL

AI engineer with more than 10 years of experience in tech. Ex Netflix. Team player with experience in Software Engineering, Cloud and AI. I will help you create state of the Art AI systems, cloud based platforms and efficient APIs.

As a Data Scientist, Machine Learning Engineer, Cloud Developer, Data Engineer, Backend Developer, and Startup Co-founder, I have successfully leveraged AI and cloud technologies to drive innovation and solve real-world challenges across various industries. Having co-founded and led an AI startup that was later acquired, I bring a unique blend of technical expertise and business insight. My focus lies in developing advanced machine learning models, data-driven solutions, and scalable cloud infrastructures on platforms like AWS and Azure.

Please also see my blog: jiddualexander.com I'm a data scientist / analyst and an expert R programmer. I am strong with ggplot (ggplot2 data visualisation) and I am also a Shiny App developer. I can create custom dashboards for your data with intelligent analytics and interactive graphics. I program in R 6 days a week and I am very confident with all aspects of a data analysis project. I use mostly the very powerful packages created by Hadley Wickham (data import, cleaning and tidying (tidyr), manipulation (dplyr), visualisation (ggplot2) and reporting (Shiny)). The list of online certificates (below) is a good indication of the focus of my skills. To understand the power of these tools for creating dashboards I suggest you take a look at RStudio's Shiny gallery (shiny.rstudio.com/gallery/). I have participated in the Master R Developer Workshop by RStudio, thaught by no other than Hadley Wickham himself. My expert knowledge in R extends to high quality functional programming, package building, meta-programming and more. I have a Master Degree in Theoretical Physics from Sussex University (UK) and very strong understanding of analytics and machine learning, including neural networks (which I studied at Uni), support Vector machines, RandomForest, Principal Component Analysis (PCA) and much more. Including the tools to train machine learning models I also have a fundamental understanding and set of tools to apply the correct models for specific situations.

My background is in applied machine learning and privacy—how knowledge is organised, retrieved, and evaluated, and how to use that knowledge safely. I build retrieval and NLP systems with a focus on structured evaluation, deliberate model scoping, and architectures that are maintainable and auditable. What I typically take on: 🔍 Retrieval systems, evaluated rigorously — chunking strategy, embedding selection, re-ranking, and measurable retrieval quality before any generation step. 🗂 Structured extraction — turning unstructured text into clean, typed data through schema design, classification, and ground-truth-based evaluation. 🔗 Knowledge representation — indexes, ontologies, and metadata that make information findable for the right reasons, not just by surface similarity. Every engagement includes evaluation infrastructure, documentation, and a working handover. Portfolio and prior work below. Tech: Python · PyTorch · FastAPI · PostgreSQL · LanceDB · ChromaDB · SentenceTransformers · MCP · AWS

🌟 𝐓𝐨𝐩 𝟑% 𝐔𝐩𝐰𝐨𝐫𝐤 𝐓𝐚𝐥𝐞𝐧𝐭 | 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐣𝐧𝐞𝐞𝐫 & 𝐀𝐈 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 🌟. Highly rated Machine Learning Engineer with 7+ years of experience specializing in AI/ML (Natural Language Processing (NLP), Computer Vision, Model deployment and lifecycle maintanance). I'm passionate about helping clients leverage the power of large language models and information retrieval systems to achieve their goals. Clients consistently praise my excellent communication skills and ability to understand their needs. I keep clients informed throughout projects using a combination of daily reports and step by step guidelines to ensure that all team members can work efficiently. This ensures transparency and fosters a collaborative work environment. I'm eager to discuss your AI/ML challenges and explore how I can help you unlock valuable insights from your data.

I am a data analyst, data scientist and machine learning programmer with about 20 years experience working in the data-field. I work with tools like Python, SQL, R, Excel, Excel VBA, Power BI, Azure Synapse I am familiar with all the regular libraries like scikit-learn, numpy, pandas, matplotlib, tensorflow, R shiny, Caret, ggplot, dplyr, lubridate etc. With my econometrical background I am good in statistics and find it also important to present my work visually and textually in an attractive and understandable way.