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Best German-speaking freelance Data Scientists to hire in 2025

Looking to hire German-speaking Data Scientists for your next project? Browse the world’s best freelance Data Scientists on Contra.

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Hwei Geok Ng
Germany
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Explore projects by German-speaking Data Scientists on Contra

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Energetic Overview EMENA Region

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Nuclear And Carbon

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Optimal UPS Deployment with Gurobipy

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Environmental Impact Assessment

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Occupancy Prediction

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Fraud Detection

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Data Science Case Study : Decoding Mr. Beast's Entire Business

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Exploratory Analysis of Geolocational Data

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Unveiling Hotel Reviews with EDA, NLP and Deep Learning Models

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Analyzing and Forecasting Cryptocurrency using Deep Learning

Cover image for Predictive Modeling: Cars-For-Hire Ride Value Prediction 🚕
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Predictive Modeling: Cars-For-Hire Ride Value Prediction 🚕

Cover image for Technical Writing: OCR Text Recognition with OpenCV 🕵️‍♀️
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Technical Writing: OCR Text Recognition with OpenCV 🕵️‍♀️

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Technical Writing: Interactive Web App Using Jupyter Notebook ⌨️

Cover image for Technical Writing: Object Segmentation for Images and Videos 🎥
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Technical Writing: Object Segmentation for Images and Videos 🎥

Cover image for Technical Writing: Image Classification of Star Wars Legos 📸
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Technical Writing: Image Classification of Star Wars Legos 📸

Cover image for Machine Learning Research and Academic Publications 📑
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Machine Learning Research and Academic Publications 📑

Cover image for Research: An AI-Enabled Talking Robot  🤖
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Research: An AI-Enabled Talking Robot 🤖

Cover image for My Medium Articles
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My Medium Articles

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Get to know me in 90 seconds :)

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One Camp Webinar Highlights : How To Foster Effective Product &…

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Using Data Maturity Models for PLG w/ Joy Chatterjee, Lead Data…

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Data Radar Maps: Navigating Product Growth with Data Insight | …

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A/B Testing Nano Bootcamp

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In obscuro astra nascuntur.

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Business Analytics (BI) implementation

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Portfolio Website

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R Shiny App Visualizing Probability Distributions

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Fraud Detection in Ethereum Transaction Data

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Debt sustainability analysis, worldwide 1950–2021.

Cover image for Fine-tuning VGG16 & EfficientNet for Facial Emotion Recognition
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Fine-tuning VGG16 & EfficientNet for Facial Emotion Recognition

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Fraud Detection in Online Payment | Classification

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RainMakerz: AI-Powered Interactive Pitch Decks & Investor Q&A

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Advanced NLP Techniques for Disaster Text Classification

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Food Classification with ResNet and EfficientNet

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Keyword Extraction

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Python-based API for buying and selling stocks.

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Text extraction from Images (OCR)

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Published an NPM Package That Converts Markdown to HTML

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AI-Powered Interactive Platform for Form Analysis and Management

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AI-Powered Stroke Prediction System

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Optimizing Traffic Management with AI-Powered Traffic Prediction

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Eco-score Prediction Deep Learning

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CheckMyPotatoes

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CNRS Data Analyst

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Virtual Sensor Dassault Aviation

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Product Review Sentiment with Automl & BalzingText

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Taxi Fare Amount and Generous Customer Prediction

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Llama-3.1 PEFT Chatbot Human Preference Prediction

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FAQs

When preparing to brief a freelance data scientist, focus on clearly defining the project's goals, datasets you have or need, and the specific outcomes you desire. Include any tools or technologies you expect them to use, as well as a timeline and any relevant deadlines. This clarity helps freelancers understand your expectations and timelines, ensuring a smoother project commencement and execution.
To assess if a freelance data scientist's skills align with your project needs, review their portfolio and past work experiences for projects similar to yours. Look for specific examples of data analysis, statistical modeling, machine learning implementations, or data visualization that resonate with your project's requirements. You can also check their technical proficiencies in relevant programming languages or tools.
To ensure a smooth onboarding process, provide the data scientist with access to necessary resources and tools from the start, such as datasets, software, and any internal documentation. Clearly communicate your business objectives and any integration requirements with existing systems or teams. Establish regular check-ins early in the project to facilitate open communication and timely feedback.
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