Hire Freelance Time Series Analysts
Mike Schachter
Mike has over 20 years of experience in machine learning, data science, and computational biology. His expertise includes signal and image processing, working with unstructured data such as images, video, audio, and text, and he is proficient in time series analysis. Extending from leveraging cloud platforms such as GCP and AWS to writing Python, R, C++, and Java code, Mike's technical experience resulted in significant contributions to the field of neuroscience.
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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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Vahan Martirosyan
Vahan is a data scientist with over five years of experience building several end-to-end ETL pipelines that integrate data from multiple sources. He is adept at leveraging cutting-edge tools in NLP, time series analysis, computer vision, geospatial data analysis, network analysis, and tabular data analysis to meet the project needs. Vahan employs a holistic approach to data science consulting and enjoys deep diving into the business context underlying his data science projects.
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Carina van der Zee
A seasoned AI/ML and statistics expert, Carina leverages her comprehensive skill set to deliver impactful solutions as a consultant, freelance, and CTO. Her impressive trajectory spans from top Wall Street banks to technical leadership in the tech sector, backed by robust academic credentials in mathematics, engineering, and business. Passionate about solving analytics, automation, and optimization challenges, Carina propels businesses into the future with her data-driven approach.
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Jan Krepl
Jan is a machine learning engineer passionate about software engineering, machine learning, leadership, and online education. He has extensive professional experience applying computer vision, natural language processing, and time series analysis in academic and business settings. Jan also dedicates much of his free time to contributing to open-source software and educational content creation.
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Dávid Natingga, Ph.D.
Dávid helps his clients solve the most complex analytical problems using mathematics, data science, and technology. He has aided numerous clients, including big names like Infosys, Palantir, Suez, and TomTom. Dávid's top niche is high-frequency time series analysis. He makes the impossible possible. His inventions encompass robust Fourier transform, robust anomaly detection, and overcoming the curse of higher dimensionality. Dávid's strengths include curiosity, creativity, and persistence.
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Merve Acar
Merve is an experienced machine learning engineer who takes pleasure in revealing the story of data and building predictive models with a proven track record of designing and implementing pipelines for extracting, validating, cleaning, transforming, and modeling data. She is passionate about solving real-world industry problems and eager to take on new challenges and opportunities.
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Michael Kowalski
Michael has an exceptional background in finance, business, and software. He is a certified SuperForecaster and MBA with knowledge of machine learning. At Credit Suisse, he produced $24 million in profit using bespoke software tools to identify statistical arbitrage transactions in the sovereign bonds of 20 countries and built a yield curve-based pricing model for Australian Bank Hybrid Bonds. Michael has industry experience in finance, energy, telecommunications, and publishing.
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Sebastián Castaño
Sebastián has a PhD in machine learning and data science and a decade of experience in interdisciplinary projects in medicine, banking, marketing, and consumer products, among others. His expertise includes designing data collection systems, analyzing and modeling complex data, and developing and deploying ML pipelines. As a seasoned researcher and educator, Sebastián constantly delivers compelling data-driven insights and intuitive tools for technical and non-technical colleagues.
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Charles Camp
Charles is certified in artificial intelligence and data science. He is highly skilled at producing high-performing models and making them easy to use. He easily adapts to all kinds of environments and has already worked for banks, startups, IT firms, and laboratories. Charles' fields of expertise are natural language processing and time series analysis.
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Tamara Makarova
Tamara's recent professional experience includes analyzing financial and transaction data and dealing with various supervised and unsupervised data problems. Along with having strong analytical skills and math background, Tamara is also a proactive and highly motivated person focused on extending and leveraging her expertise in data analysis, machine learning, and data visualization.
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