Hire Freelance Time Series Experts
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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Daphne Liu
Daphne is a highly motivated big data analytic architect and SQL/Tableau developer with strong business analytic solution delivery skills and 20 years of progressively responsible OLTP/OLAP database development/architecture experience. She is a frequent seminar speaker and workshop trainer in business intelligence and analytic solutions. Daphne is experienced collaborating with business users in data modeling and business analytic solutions.
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Ilya Prokin
Ilya is a data scientist, CTO, and AI tech entrepreneur with a PhD. He's an expert in applied data science, machine learning, AI, and LLM fine-tuning in the manufacturing, finance, and biotech industries. He has published scientific papers, scaled various MVPs to full-featured products, pitched startups, and built a strong AI community that spread to six cities. Ilya enjoys improving businesses with data, developing innovative ways to apply data and AI, and geeking out about optimization.
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Arsine Sarikyan
Arsine is a creative and scientifically rigorous data scientist with over three years of experience. Her experience includes designing experimentation processes such as data collection, robustness checks, and explainability, developing ML and AI strategies, and conducting NLP research. She specializes in causal analytics to answer the why question and find hidden patterns and relationships. Arsine contributes to the research community by writing and publishing academic papers.
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Aditya Andra
Aditya is a developer with experience building machine learning and statistical models with large-scale data sets on cloud platforms using the latest big data technologies. Thanks to master's degrees from the IE Business School and IIT (ISM) Dhanbad, Aditya has a solid understanding of data science in various business scenarios. He is also a former quantitative researcher specializing in time-series and machine learning-based strategies and risk models in financial markets.
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Jeremy Jacobson
Jeremy is a versatile data scientist with six years of experience that includes leading machine learning research projects and managing department teams. He has built data science and ML solutions used by faculty and external partners such as CareerBuilder and UPS. He was recognized by Google Education as a Google Cloud Faculty Expert and selected to the AWS Academy Cloud Council Faculty. Adept at picking up new skills quickly, Jeremy is committed to freelancing excellence.
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Shing Chan
Shing is a researcher and developer of machine learning methods with experience across diverse domains, including physics-informed machine learning for fluid simulations, generative AI for geomodelling, clinical risk scores for patient screening, customer lifetime value models for eCommerce, and models for sports betting and algorithmic trading. Shing currently works at the University of Oxford, researching methods to leverage wearable sensor data for health analytics.
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Pablo Mainar Jovaní
Pablo is a machine learning engineer with 5+ years of experience in data analysis, statistics, and machine learning modeling. He has worked on various domains, including computer vision, audio processing, time-series forecasting, and human biosignals such as electroencephalography (EEG). Pablo is also skilled in Python and all data processing libraries such as NumPy, pandas, SciPy, PyTorch, and TensorFlow.
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Demetrio Rodriguez
Demetrio is an experienced data scientist who's comfortable with the entire data science stack. He excels at developing sophisticated machine learning models and leveraging highly tractable and robust statistical methods. Besides his technical and statistical expertise, Demetrio's presentation style and powerful visualizations effortlessly get across key takeaways of highly technical results to any audience.
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Colan Walsh
Colan is an experienced senior financial quantitative developer and researcher with experience across various asset classes and trading venues. He has a multidisciplinary background, having worked in quant development, quant research, and derivatives trading for multiple investment banks and hedge funds. Colan has built and managed teams of quant researchers from the ground up on numerous occasions.
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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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