Hire Freelance Random Forest Developers and Engineers
Ronan Doorley
Ronan has several years of experience in data science and machine learning with Python, R, and MATLAB. He has a passion for developing validated models of human behavior and complex systems. Currently, he works with the City Science group at the MIT Media Lab where he develops predictive models of individual behavior such as activity scheduling, location choices, and modes of transportation.
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Laura Tolosi
Laura has a Ph.D. from the Max Planck Institute for Informatics, Germany, in the field of computational biology, focused on cancer biomarker detection using statistics and machine learning. She worked on projects in the field of natural language processing such as named entity recognition, sentiment analysis, fake news detection. Recently, she has worked on applying reinforcement learning methodology for trading financial instruments.
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Matthew Alhonte
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.
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Andrew Burnie
Andrew is an expert in extracting commercially valuable insights from data, with a specialty in text analysis. He has experience in the retail, insurance, and other financial sectors. Andrew earned a PhD in social media analysis, funded by the UK's national institute for data science and AI, and a master's degree in management and economics from the University of Cambridge. He enjoys using machine learning and statistics to help companies get the most out of their data.
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Alex Risman
In Alex's current role, he uses artificial intelligence to automatically detect diseases in 2D and 3D medical images along with some algorithms to achieve superhuman performance. Previously, he worked as a data scientist at an eCommerce company, where he built and deployed a deep-learning-based product search engine.
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Stefan Petrov
Stefan has been fascinated by the potential of AI since high school. For the past several years, he’s been making a living as the primary developer of more than ten analytical products using R, Python, Mathematica, .NET, and Java. Recently, Stefans been focusing on operations research-type issues and using random forests, time series models, Keras, TensorFlow for neural nets, PyMC3, Stan for Bayesian models, and linear and MIP programming.
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Avinash Kanumuru
Avinash has more than seven years of experience developing machine learning models and creating predictive solutions for businesses. He also has three years of experience building data warehouse and business intelligence platforms as a software engineer. Avinash has proven knowledge in building REST API. He is currently focused on building scalable data and ML services leveraging cloud platforms.
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Reema Kumari
Reema has 4+ years of experience in machine learning and data analytics across various projects, such as movie scheduling, cargo space optimization, loan recovery, and digital products. She has focused heavily on natural language processing in the digital product space, and she is proficient in Python and R. Reema is also an incoming student in the UCLA Master of Engineering program, focused on artificial intelligence.
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Abhimanyu Veer Aditya
Abhimanyu is a machine learning expert with 19 years of experience creating predictive solutions for business and scientific applications. He’s a cross-functional technology leader, experienced in building teams and working with C-level executives. Abhimanyu has a proven technical background in computer science and software engineering with expertise in high-performance computing, big data, algorithms, databases, and distributed systems.
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Guangxi Jin
Guangxi is an experienced full-stack developer with 10 years of experience in API/web front-end/mobile app development, DevOps, AI, and blockchain. He's built several successful websites, mobile apps, and DeFi platforms with hundreds of thousands of users while working as a senior developer, lead developer, or product manager. Following clients' business ideas, Guangxi has completed over 10 projects involving various technological fields from scratch. He values honor, integrity, and teamwork.
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Denis Volk
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
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