Hire Freelance Pandas Developers and Engineers
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."
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Andrés Enrique Gutter Boente
Andres is a highly skilled software developer with 12 years of experience building complex back-end solutions for small and medium-sized companies. On his most recent project, he worked on back-end data development with Python, Pandas, SQL, and other related technologies. Andres quickly adapts to new technologies and environments and constantly seeks to improve, learn and develop new skills.
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Doru Musuroi
Doru is a highly proficient data scientist with proven experience in Pandas, Spark, Kafka, Seaborn, Plotly, PyTorch and Scikit-learn. He's performed data analysis on large-scale datasets at Oracle, worked on distributed systems at Facebook, and designed and implemented big data platforms at Dathena. Doru has also completed his master’s degree in computer science at a top ten university, the Swiss Federal Institute of Technology Lausanne.
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Rafah Alomar
Rafah is a Java and Python enthusiast with over four years of software development experience across many domains, including eCommerce and advertisement. She is experienced with technologies such as Spring Boot, Hibernate, Kafka, Caffeine, Memcached, Scikit-learn, Pandas, Flask, and many others. Rafah is also a researcher, with her master's thesis being centered on natural language processing tasks.
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Alec Peters
Alec works at the intersection of data and software development. With over four years of professional software development experience, he primarily focuses on writing full-stack web applications and data processing pipelines in various technologies including Python and .NET. He also is experienced in data analysis and telling stories with interactive visualizations, dashboards, and reports.
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Eugene Balkind
Eugene is a skilled data scientist with a strong academic and industrial background in time series analysis, LLMs, and other ML technologies. Eugene has created classification models that predict positive or negative outcomes of COVID-19 tests and models that determine whether a company is a good acquisition. He has also built data hubs, completed cross-validation testing, and adjusted and improved models to adapt to quickly changing requirements. He is also proficient in OpenAI API.
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Masooma Ali
Masooma has over nine years of experience applying data science to problems in domains like astronomy and theoretical physics. She has also worked with automated soft skills coaching and parenting coaching. She has built ML models using both structured and unstructured data and currently enjoys applying ML for natural language processing (NLP) and audio tasks. Masooma also has extensive experience developing software collaboratively and has delivered projects in industry and academia.
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Mauricio Fadel Argerich
Mauricio is a machine learning (ML) scientist and software engineer with 10 years of experience in the tech industry. He's worked on projects related to ML methods and their application to IoT, published in AI and ML journals and conferences, and filed patents in the EU and US. Mauricio is skilled in various APIs, scikit-learn and pandas libraries, and many programming languages, such as Python, SQL, Objective-C, and Java, enabling him to easily implement prototypes and production-ready systems.
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Igor Stankevich
Igor is a results-driven quantitative development professional with progressive industry experience in commodities, deep learning, computer vision, and data science. He has demonstrated hands-on financial and AI software development experience with in-depth knowledge of Python. Igor consistently attempts to find the best value-add opportunities and contribute to the team as a whole.
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Julián Peller
Julián is an autonomous, curious, and self-driven data scientist with a solid theoretical background—an MSc in computer science—and more than 14 years in the software industry. During this time, he has worked in different roles, projects, and types of companies. Julián is also a Python expert and enthusiast and is specializing in—and very passionate about—deep learning.
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Anna Tshngryan
Anna is a data scientist with four years of experience in data analysis and machine learning. She works on end-to-end processes, from data scraping, data collection, and pre-processing, cleaning, and data visualization to predictive modeling development. She is skilled in training a number of ML models, comparing them, and conducting error analyses. Anna is looking for projects that allow her to use data and machine learning to solve complex problems.
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