Hire XGBoost Developers
Tory Borsboom-Hanson
Tory is a data scientist and forecasting specialist with extensive experience in experimental design, AB testing, and leadership roles. His stack of choice includes Python, SQL, Pandas, PySpark, Hadoop, MLFlow, XGBoost, and Scitkit-learn. Beyond data science and model development, he is an expert at data visualization and reporting, especially to non-technical audiences. He often remarks that "a poorly presented analysis can often be worse than no analysis at all."
Show More
Alexander Chistyakov
Alexander is a senior full-stack ML engineer with 5+ years of experience. He has worked in quantitative finance, developing ML-based trading and arbitrage strategies, as well as quantitative sports betting. He has designed, deployed, and built robust data pipelines for GBDTs, regression models, and transformers. With extensive experience in PyTorch, LightGBM, XGBoost, and numerous other models, Alexander is skilled in deploying infrastructure and creating pipelines from scratch on bare Linux.
Show More
Mehdi Sattari
Mehdi is an experienced data scientist who specializes in scalable machine learning, predictive modeling, and end-to-end data solutions. He thrives across fintech and industrial environments. Additionally, he has a strong background in customer segmentation, churn prediction, and credit risk analysis.
Show More
Francis Marti
Francis is an experienced software engineer and machine learning specialist with 20+ years of experience in the tech industry. He has delivered machine learning energy, finance, and insurance solutions, leveraging Python, TensorFlow, XGBoost, FastAPI, and distributed systems. Francis is an expert in large language models (LLMs) integration and real-time inference at scale.
Show More
Alex Eftimiades
Alex is an experienced data scientist, statistician, and Python engineer. He has built models that identify financial crime and classify text communications using tools ranging from XGBoost to cutting-edge research and deployed them on AWS Lambda from Docker containers. He authored the now open source Model Validation Toolkit, used at FINRA to perform statistically rigorous model validation and monitoring.
Show More
Dragos Tudor
Dragos is a technical leader who touched the lives of 1.5 million users and generated $50 million in business value by building and deploying machine learning implementations for international enterprises, SMEs, and startups. Dragos has worked across the entire engineering pipeline with both executives and data scientists, building production-ready recommender systems, advanced NLP models, time-series forecasting data products and classifiers, and other custom advanced analytics capabilities.
Show More
Samuel López Santamaría
Samuel is a seasoned data scientist experienced in building intelligent systems. He worked on solutions to predict aircraft delays for Lufthansa and upcoming graffiti on trains for Deutsche Bahn. He has also led an Agile team researching applications of reinforcement learning for autonomous vehicles. Samuel has deep expertise working with Python and has engaged in all stages of the data science pipeline, from data engineering to model training and deployment to the cloud (Azure, GCP).
Show More
Aurélien Mazoyer
Aurélien is a senior software engineer who has implemented large-scale systems for big technology companies, such as Tomtom, Amadeus, and Blablacar. As a search engine specialist, he has designed tailor-made solutions leveraging open-source search technologies. At Blablacar, he created a production-ready pricing service leveraging a machine learning model (XGBoost) to predict prices, set up CI/CD with regression testing for service rollout, and developed new features with data scientists.
Show More
Chaima YEDES
Chaima is a data architect with 8 years of experience across data engineering, MLOps, and AI infrastructure. She's a specialist in trusted lakehouses, federated data platforms, and AI-ready foundations. At QData (ADQ), she built a Databricks-native quality framework across multiple entities, and at Valeo, she led the AI data platform for autonomous driving across 4 countries.
Show More
Nairi Baghdasaryan
Nairi is a quantitative researcher and data scientist with experience building algorithmic trading systems, backtesting engines, and portfolio risk models. She has designed multi-agent ML architectures for trading signals and a novel topological data analysis algorithm for time-series similarity search - turning complex research into production-grade systems that deliver measurable results.
Show More
Joslyn Lim
Joslyn is a seasoned data practitioner with demonstrated experience across multiple industries, including technology consulting and customer service. With her academic background in applied statistics and a skillset in machine learning, data analytics, Python, and SQL, Joslyn has delivered numerous projects with positive business impacts on customers.
Show MoreDiscover More XGBoost Developers in the Toptal Network
Start Hiring
