Machine learning algorithm development and deployment for wide variety from auditory and visual data classication to time series prediction and natural language processing.
Exploratory data analysis and data cleaning for machine learning pipelines, data engineering pipelines, and reporting/dashboarding applications.
Presentation of data in reporting and dashboarding applications on a variety of tools: custom-made boards (Streamlit, Dash Plotly), open-source or self-hosted software (Metabase, Redash, Dataiku) and commercial software (Power BI, Tableau).
Development of Android applications and websites for rapid product testing, including both Front-End and Back-End elements.
Implementation of data stacks, particularly based on open-source based frameworks, including remote servers, API, self-hosted or licenced ETLs.
Design and installation of web analytics and cookie consent solutions with different tag manager platforms and cookie management platforms.