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Predrag Miocinovic
Predrag is a software architect and engineer specializing in C++ for 20+ years. He started his career as an astrophysicist, working on groundbreaking experiments with optical and radio detectors; signal processing; and data management, analysis, and simulations. Leveraging those skills, Predrag transitioned to the financial sector as a lead developer for KRM, the market's most advanced financial risk analysis engine, used by some of the largest financial institutions to manage risk exposures.
Show MoreChristopher Maierle
Chris Maierle is a seasoned data scientist, trader, and researcher. He has extensive experience applying and developing quantitative and machine learning models in both finance and academic contexts. Recently, Chris worked at XR Trading as a high-frequency trader, and before that was a quantitative analyst at Goldman Sachs.
Show MoreNephtali Garrido-Gonzalez
Nephtali is a data scientist and quantitative researcher based in Mexico City. A quantum physicist by training, Nephtali has experience in the financial, retail, and consulting industries. He was also a two-time representative of Mexico at the International Olympiad in Informatics (2006 and 2007). A lifelong learner, Nephtali is passionate about the democratization of machine learning and the future of artificial intelligence.
Show MoreIgor 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.
Show MoreNathan Faber
Nathan is a problem solver at heart, having worked as a chemical engineer, financial data scientist, and portfolio manager. He loves to dive into messy data sets to uncover patterns and leverage the data to benefit the business. His quantitative and qualitative analysis skills in machine learning, visualization, and model creation, paired with his attention to detail and development experience in various programming languages, make him an ideal candidate for tackling any project.
Show MoreRobert Roloff
Robert is a data scientist and quantitative researcher with an extensive background in time series forecasting and quantitative finance. He has applied various machine learning techniques to predict the global futures, stock, and ETF markets. Robert is looking for projects that allow him to use data and machine learning to solve complex problems. Machine learning is not only part of Robert's professional portfolio but also his hobby.
Show MoreAdrian Alexandru Olteanu
Adrian is an experienced quantitative researcher and statistician/data scientist with the ability to research, implement, and deliver predictive ML models used in finance—namely algorithmic trading. Other areas of domain expertise of Adrian's include mathematical modeling, NLP, deep learning, anomaly detection, signal processing, and portfolio optimization.
Show MoreJean-Michel Nairac
Jean-Michel is a senior data scientist and quantitative risk manager with 8+ years of experience. He worked at PwC and CIEL Group Companies, where he also gained his consulting experience, strong business acumen, and leadership skills. Jean-Michel's industry experience is backed by bachelor's degrees in economics and statistics and a master's degree in financial mathematics. He is currently ranked in the top 2% of Kaggle competitions.
Show MoreAditya 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.
Show MoreAvenash Kabeera
Avenash has 15+ years of experience in all areas of the software development lifecycle, with a proven track record in developing web applications, back-end services, and external APIs. He is an engineering leader and mentor with experience in building and scaling high-performance teams in companies at various stages, guiding software architecture, design, and implementation, and managing stakeholders across executives, product, strategy, operations, and business development functions.
Show MoreYen Lok
Yen is a data scientist, a Python enthusiast, and a machine learning (ML) developer. He has been a data scientist in several large multinational companies. Yen has developed data pipelines and machine learning (ML) models. His unique combination of domain knowledge in business, science, and technical skills allows him to provide his clients with actionable, predictive, and explanatory models.
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