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Experienced data leader with expertise in machine learning engineering, scalable data infrastructure, and AI-driven automation. Skilled at reducing deployment times, expanding data capacity, and integrating generative AI into workflows to accelerate delivery. Strong record of leading high-performing data teams and developing forecasting models, analytics systems, and automated reporting tools that drive strategic decisions and business growth.…Experienced data leader with expertise in machine learning engineering, scalable data infrastructure, and AI-driven automation. Skilled at reducing deployment times, expanding data capacity, and integrating generative AI into workflows to accelerate delivery. Strong record of leading high-performing data teams and developing forecasting models, analytics systems, and automated reporting tools that drive strategic decisions and business growth.

Michael Tsardakas

Data Scientist, AI Developer, Data Visualizer

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Experienced data leader with expertise in machine learning engineering, scalable data infrastructure, and AI-driven automation. Skilled at reducing deployment times, expanding data capacity, and integrating generative AI into workflows to accelerate delivery. Strong record of leading high-performing data teams and developing forecasting models, analytics systems, and automated reporting tools that drive strategic decisions and business growth.…Experienced data leader with expertise in machine learning engineering, scalable data infrastructure, and AI-driven automation. Skilled at reducing deployment times, expanding data capacity, and integrating generative AI into workflows to accelerate delivery. Strong record of leading high-performing data teams and developing forecasting models, analytics systems, and automated reporting tools that drive strategic decisions and business growth.

Available to hire

Experienced data leader with expertise in machine learning engineering, scalable data infrastructure, and AI-driven automation. Skilled at reducing deployment times, expanding data capacity, and integrating generative AI into workflows to accelerate delivery. Strong record of leading high-performing data teams and developing forecasting models, analytics systems, and automated reporting tools that drive strategic decisions and business growth.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Greek, Modern

Fluent

English

Fluent

German

Intermediate

Work Experience

Data Lead at Gower Street Analytics

January 1, 2021 - November 2, 2025

Data Lead responsible for ML engineering and data science initiatives. Built robust inference endpoints (AWS Lambda, Flask, FastAPI, Dagster); reduced ML deployment time from weeks to days. Scaled data processing from 200GB to 20TB by implementing a scalable AWS data lake (Iceberg, Parquet). Optimized a core SAAS PostgreSQL database on AWS RDS (read replicas, schema redesign, query optimization), enabling expansion from 6 to 90 markets. Developed lm revenue forecasting and lm similarity models (TSLib, scikit-learn, HDBSCAN) that secured 3 major studio partnerships. Delivered real-time analytics dashboards (Metabase) reducing ad-hoc requests by 40% and support tickets by 80%. Automated PDF reporting system (Polars, LaTeX) achieving 96% positive feedback and helping win two $500k contract renewals. Led data team hiring, onboarding, mentoring, and line management.

Senior Data Scientist at Gower Street Analytics

January 1, 2021 - January 1, 2021

Developed time series analysis model to predict film ticket prices in multiple countries (USA, UK, Germany, Australia), achieving an average accuracy of 93% over a 12-month period. Engineered a gradient-boosted model to predict lifetime film earnings from partial data, achieving a mean percentage error of 1% and saving analysts approximately 10% of their weekly time. Automated the generation and deployment of weekly reports for internal and external stakeholders, leveraging a tech stack including AWS Athena, R/KnitR/LaTeX, GitHub, Drone, and Docker Swarm. Established and maintained a Docker-based environment for data science projects on remote servers, promoting collaboration and rapid experimentation. Mentored colleagues on best practices and usage.

Data Scientist & Mathematical Modeller at Skyscanner

January 1, 2019 - January 1, 2019

Developed, tested, and deployed statistical and mathematical models to optimize budget allocation across advertising markets and channels, directly informing monthly decisions on budgets exceeding $6,000,000. These models led to a 9% year-on-year increase in advertising ROI. Conducted advanced machine learning work, including revenue attribution modeling, customer lifetime value prediction, causal impact analysis, and ad revenue and cost-per-click optimization.