Dmytro Tarasevych is a Lead Data Analyst with nine years of experience blending data engineering and analytics to turn complex datasets into actionable insights. He specializes in designing robust ETL pipelines, orchestrating workflows with Airflow, and building analytical models and visualizations using SQL, Python (Pandas, NumPy, Scikit‑Learn) and visualization libraries. His background spans startups and mid‑sized tech firms across the US and Europe, bringing production-grade data solutions from Petcube and Surfshark to roles in New York and Tulsa. With a BASc in Computer Science and a mathematician’s eye for optimization, he often applies formal optimization methods to streamline data processing and model performance. Colleagues rely on him for pragmatic engineering decisions that bridge analytics, data infrastructure, and cross‑functional collaboration.
This is my graduation project in BIT. Title: Noise Reduction Using GRU.
Contributions:1 push in 5 years 3 months
gruaudio-processingpythonsimplexperlin-noise
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