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Valentine Akhiarov
Data Engineer / Full Stack Data Scientist / ML Engineer / Quant
About
Valentine Akhiarov is a US Citizen with a Master of Science in Applied Mathematics & Physics from the Moscow Institute of Physics & Technology. He is a Full Stack Data Scientist / ML Engineer with extensive experience in designing and deploying advanced data platforms, systems, and tools to support complex data science research initiatives. Valentine has a proven track record of guiding end-to-end data science projects from exploration to implementation and post-production monitoring. He is an out-of-the-box, analytical thinker with a passion for driving continuous improvements in infrastructure, modeling, and methodologies to positively impact business and enable growth. Valentine has developed various financial projects while using different approaches from simple statistics to deep neural networks. He has implemented multiple applications beginning with traditional time-series forecasting and finishing with making a High-Frequency Trading (HFT) market maker running on a collocated server to trade securities. Currently, Valentine works as an ML Core Data Engineer at Facebook with TEKSystems. He is skilled in Hive, Presto, Python, Jinja, Datawarm (Airflow), and Unidash. He is interested in Data Engineer / Software Engineer / ML Engineer / Quant / Data Scientist / Data Analyst positions remote or on-site in the USA. Valentine has worked as a Full Stack Data Scientist at forecsys, where he developed financial applications, assessed bank clients, evaluated key models, and proposed and implemented a critical multi-model pipeline. He co-designed a data collection experiment for an electric field classification, launched and facilitated an image-based location recognition competition, processed complex data and built models for an NLP classification issue, and built a pipeline for a critical medical classification issue. Valentine's TechStack includes ML, Data Engineering, Data Scientist, Research Scientist, Apache Airflow, Python, Neural Networks, Software Engineer, infra, and NLP. He has relevant experience of 4.86 years.
Education Overview
Companies Overview
• apple
• forecsys
Experience Overview
5.8 Years
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Experience
Skills
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Data Engineering
Data Science
Data Scientist
Deep Neural Networks (DNN)
forecasting
infra
Infrastructure
Leadership
LESS
Machine Learning (ML)
Natural Language Processing (NLP)
Neural Networks
Python
Research
Research Scientist
Senior Software Engineer
sensors
Software Engineer
Software Engineering
SQL
statistics
Trading
Contact Details
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