Hire Freelance Scikit-Learn Developers and Engineers
Matthew Alhonte
Freelance Scikit-Learn Developer
Matt has officially worked as a Python-based data scientist for the past six years; however, he's spent the last ten at the intersection of stats and programming (before the term data scientist had caught on). He combines strong technical skills with a rigorous background in experiment design and statistical inference. More recently, he's been focusing on machine learning, including some natural language processing and computer vision.
Show MoreDaniel Yinanc
Freelance Scikit-Learn Developer
Daniel is a secure cloud and software development professional who takes real pride and joy in his work. Spending the last two decades in secure software development from hybrid native to the back-end, data science to DevSecOps and cybersecurity to the cloud, his rare combination of well-rounded expertise is his industry known ace in the deck. Customer satisfaction is his core value, and he can't wait to discuss your project needs.
Show MoreSantiago Hernández
Freelance Scikit-Learn Developer
Santiago is a machine learning engineer keen on solving large-scale data, optimization, and engineering problems. He has led a team of data scientists to build products that predict the value of over 300 million users worldwide to optimize the advertisement of world-leading companies. Santiago considers it a serious undertaking when developing elegant, efficient, and well-designed software systems.
Show MoreVince Jankovics
Freelance Scikit-Learn Developer
Vince is an engineer with expertise in machine learning and robotics. He has experience developing autonomous systems and artificial intelligence with emphasis on perception, decision making, and control. He is fluent in Python and C++ and has worked in a variety of projects as a consultant, helping clients achieve their goal.
Show MoreDwight Dale Cummings, M.Sc.
Freelance Scikit-Learn Developer
After a successful career developing Oracle applications, Dwight returned to his first love (AI programming) and retooled himself as a Python expert and data scientist. He further honed his skills by developing PyOraEBS (an SQLAlchemy-based Python framework) and by serving as a Python data science expert in the field of algorithmic trading. Dwight is living his dream by doing what he loves and interfacing with diverse people and cultures.
Show MorePau Labarta Bajo
Freelance Scikit-Learn Developer
Pau is a data scientist and ML engineer with over eight years of experience. He has a passion for building ML-based solutions, from development to deployment. He loves transforming an idea into a model and a model into an API/product. Pau has worked on different problems: financial derivative pricing, digital marketing analytics, deep learning for art generation, or demand prediction for on-line shopping. His background is in pure mathematics, and he has strong coding skills in Python.
Show MoreKen Mendes
Freelance Scikit-Learn Developer
Ken is a full-stack Python developer who has broad experience in different IT roles, including mission-critical operations. He enjoys challenges, algorithms, and distributed systems, and follows a university education in data science and artificial intelligence. Ken cherishes knowledge, responsibility, and integrity, and brings these qualities to all his jobs.
Show MoreCosmin Rusu
Freelance Scikit-Learn Developer
Cosmin worked at Amazon, Google, and Apple on highly-scalable, distributed systems, and machine learning focused on NLP (Siri team). He worked for a startup called Kuende, writing Scala and Go microservices on top of Google Cloud. Cosmin has a strong background in advanced algorithms and data structures in C/C++ and is very passionate about machine learning.
Show MoreDilip Mathew Thomas
Freelance Scikit-Learn Developer
Along with having earned a Ph.D. in computer science and engineering, Dilip has over a decade of experience in the industry. Since 2015, he’s been focusing on projects related to machine learning and deep learning for computer vision. Dilip has an eye for detail which helps in identifying data biases and developing models for image classification of fine-grained data, object detection, text recognition, image translation, and face recognition.
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