Hire the Best Data Scientists
in Israel

Data scientist | AI engineer I have background in Physics (Bs.c) and years of experience building custom ML models, from time series forecasting to LLM-based solutions. i have experience with RAG, fine tunings llms,Agents and multi agent systems,model evaluation, solving complex problems in tabular data, especially classification problems,building projects from scratrch to production, with different types of data. Key Highlights Algorithm Developer Experience: Delivered real-time fall detection solutions and improved product recognition systems using Random Forest, CNN-LSTM, ARIMA, and more. Time Series & Forecasting: Created peak shaving algorithms, survival analysis modules, and electricity consumption predictions, boosting efficiency and reliability. NLP & LLMs: Built chatbots with RAG (Retrieval-Augmented Generation), developed a private language tutor bot, and integrated advanced voice cloning techniques for Arabic speech. Broad Tech Stack: Skilled in Python, PyTorch, Keras, Sklearn, AWS/GCP, SQL, big data handling, and orchestration of multi-agent systems. Whether you need time series modeling, LLM integration,tabular data, or end-to-end ML pipelines, I’m ready to bring advanced data-driven insights to your project. Let’s collaborate to build solutions that are robust, scalable, and impactful for your business. Employment History & Key Achievements Freelance Data Scientist – Gracefall (Jul 2024 – Sep 2024) • Led the research and implementation of a real-time fall detection solution for elder care. • Developed a time series classification model using Random Forest and advanced system identification techniques, achieving 97% accuracy. Algorithm Developer – Shekel Brainweigh (2022 – 2024) • Created a “zero learning” solution to derive product weights from scratch using unsupervised learning, reinforcement learning, and supervised methods. • Designed an error recognition algorithm using Random Forest and hypothesis testing that reached over 96% overall accuracy. • Enhanced system stability by adapting algorithms to new hardware and performing comprehensive model fitting. Algorithm Developer – Mprest (2018 – 2022) • Developed time series forecasting models for electricity consumption with CNN-LSTM, SVM, and ARIMA to optimize predictions. • Engineered a peak shaving algorithm for smart grid optimization and reduced energy costs. • Implemented survival analysis models to proactively detect undersea cable failures. Project Highlights MathBot: Built a Q&A chatbot for university math material using RAG (Retrieval-Augmented Generation) with a custom knowledge graph. Multi-Agent LLM Collaboration: Created a multi-agent system where large language models collaborate to develop web applications. Climate Change Forecasting: Benchmarked machine learning and deep learning models against traditional physical models to predict climate trends. NLP in Social Networks: Applied topic modeling (LDA) to analyze social media posts by Israeli politicians, extracting actionable insights. PlanTrip: Developed a global trip planning app integrating Google APIs, NLP, and Flask for seamless server-side integration. Neural Voice Cloning: Implemented advanced deep learning techniques (using models like DeepVoice3) for Arabic voice cloning. Technical Skills Programming & Libraries: Python, PyTorch, Keras, Sklearn, Pandas, Numpy ML/AI Techniques: Time Series Forecasting, LLMs, RAG, CNN-LSTM, ARIMA, Reinforcement Learning Cloud & Data Management: AWS, GCP, SQL, BigQuery, MySQL, Cassandra Other: Model Evaluation, Multi-Agent Systems, Real-Time System Deployment

I'm a software engineer and data scientist who turns complex, messy problems into working, reliable software. Background: PhD candidate in Machine Learning at Tel Aviv University, with 3+ years as an Algorithm Developer / Data Scientist at Mobileye and 10+ years coding in Python (also C#, C). Published ML research (NeurIPS, ICML). What I build for clients: - Data pipelines & ETL - scrape, clean, validate and structure messy data into something you can trust - Machine learning & data analysis - models, forecasting, deduplication/entity-resolution, insights - Internal tools & dashboards - turn your data into clear, automatic reporting - Automation & API integrations - connect your tools and kill repetitive work - Scripts & back-end logic where correctness actually matters How I work: I break a big problem into clear, testable pieces, agree on exact acceptance criteria up front, and deliver tested, documented code - honest timelines, and I don't disappear. If your project is complex or everyone says it's hard, that's exactly what I'm good at. Tell me what you're trying to achieve and I'll tell you straight how I'd approach it.

I’m a data scientist and Python engineer who specializes in solving real problems with clean and robust code. I enjoy turning messy data into useful predictions, automated tools, and clear insights that actually help people make better decisions. What I do well: • Python development (PySide6/Qt, FastAPI, automation tools, multi-OS apps). • Data analysis, visualization, and statistical modeling. • Machine Learning & Deep Learning (NLP, classification, regression). • Cloud-ready pipelines, SQL/NoSQL, ETL workflows. • Deploying ML models into real products, not just notebooks. How I work: • I take care of the full lifecycle: data → model → clean, working application. • I write maintainable code and document everything properly. • Communication matters - I keep you updated and deliver on time. If you need someone who understands both the data science and the software engineering sides of a project, let’s talk.

AI engineer | Knowledge graphs | Worldwide level data scientist As an international Data Scientist and AI Engineer, I specialize in transforming complex data into actionable intelligence through Knowledge Graphs and advanced machine learning. I have successfully engineered high-performance graph extraction pipelines using Python, SPARQL, and Rust-based engines, alongside migrating legacy systems to modern NLP stacks. My background is grounded in computational neuroscience and validated by top global rankings in Kaggle competitions. I focus on delivering end-to-end AI lifecycle management, ensuring scalable and optimized solutions that directly solve critical business and data challenges. Independent Researcher / Kaggle Competitor (2024–2025): Secured global Silver and Bronze medals in highly specialized data challenges, such as the Stanford RNA 3D Folding competition. Engineered state-of-the-art machine learning models and deployed advanced data pipelines within cross-functional teams. Data Scientist at Sogo Services (2022–2023): Designed the complete machine learning algorithm lifecycle for a healthcare startup. Conducted hypothesis validation and signal processing proofs-of-concept, directly contributing to the company's $300 million acquisition. Data Scientist at Antidotehealth (2022): Optimized a telemedicine search engine by transitioning the architecture from a rule-based system to a modern NLP stack, successfully mitigating 76% of error cases.

Nice to meet you😁 My name is Nitay, a freelancer with one main wish: to elevate your application by integrating cutting-edge AI. Since starting as a data scientist, these last years I trained ML models in various fields, especially: • NLP (Text classification, NER) • Computer Vision and Image Processing (Object detection/segmentation, Image classification, Image generation) • Generative AI (Fine-tuning LLMs, RAG, Prompt Engineering, Chatbots) ~ What Skills Do I Hold? ~ 1. ML/DL tools: PyTorch, Scikit-Learn 2. NLP: LangChain, Peft, Huggingface 3. Data Analysis/Visualization Tools: Pandas, NumPy, Matplotlib, Seaborn 4. Databases: MongoDB, MySQL 5. Project Management and Version Control: Git, GitHub 6. Languages: Python, C++ ~ Why Should You Hire Me? ~ 🏅1+ years of experience 🏅5k+ Earned on Upwork 🏅100+ Jobs on Upwork 🏅Great Sense of Humor 🏅10+ Upwork Hours I guarantee well-performing ML models with clean code, a professional attitude, and deadline commitment. Conclusion: you got to the right place 😁

I design and ship production ML systems end to end. BSc CS and MSc in AI & Autonomous Systems. I have led 15+ projects from first call to deployment.I specialize in time-series forecasting and in building retrieval-augmented generation (RAG) pipelines and agentic workflows that connect LLMs to your data, tools, and APIs, with guardrails, evaluation, and fallbacks. I also fine-tune YOLO for object detection and set up efficient data annotation pipelines. I write clean, robust, fully documented code. What I deliver: ✔ Data pipelines and ETL, schema design, validation ✔ Exploratory analysis, modeling and deep learning, experiment tracking, backtesting ✔ Retrieval pipelines & agent orchestration (tool use, planning, memory, evaluation) ✔ Backend APIs with FastAPI/Flask, integrations and webhooks ✔ Dashboards, reporting, and monitoring ✔ CI/CD, containers, on-prem or cloud deployment Core domains: 📈 Time Series & Signals – forecasting, anomaly detection, signal processing (filtering, feature extraction), and custom ETL pipelines 🖼️ Computer Vision – classification, detection, segmentation 🧠 LLMs/NLP – fine-tuning, prompt engineering, RAG, agentic tool use & orchestration (function calling, planning, memory), application integration 🧩 Full-Stack Engineering – Backend APIs, dashboards, and real-time data interfaces ⚙️ Deployment – Cloud-native (AWS, GCP), on-premise servers, and CI/CD pipelines Tech I work with: 🔹 ML/LLMs: PyTorch, scikit-learn, OpenCV, YOLO fine-tuning; LangChain/LangGraph, LLM APIs (OpenAI/Claude) and open-source models, MLflow. 🔹 Backend & Auth: Python (FastAPI/Flask), Node.js, REST APIs & Webhooks, Auth0 (OAuth2/JWT). 🔹 Data & Parsing: PostgreSQL, MySQL, JSON/CSV/Parquet, document processors for PDF/XLSX, scheduled ETL. 🔹 Frontend & Apps: Streamlit, React, interactive dashboards and admin tools. 🔹 Integrations & Protocols: HTTP, FTP/SFTP for file transfer, RTSP for CCTV, automated emailing with Python. 🔹 Infra: Docker, AWS/GCP, CI/CD and monitoring. I’ve worked with international teams in chemical manufacturing, agriculture, and healthcare. Open to short or long-term engagements as a Data Scientist, ML/AI Engineer, or Software Developer. Let’s build something impactful together.