Recommended expert
Michael Tsardakas-Data Lead
Check rate
Experience
Jan 2021 - Present
5 years 4 monthsLondon, United Kingdom
Data Lead
Gower Street Analytics
Position Summary
Data Lead at Gower Street Analytics
Industries
Information Technology
Media and Entertainment
Business Areas
Business Intelligence
Information Technology
Strategy
- Reduced ML deployment time from weeks to days by building robust inference endpoints of various complexity (AWS Lambda, Flask, FastAPI, Dagster).
- Increased data processing capacity 100x (200GB to 20TB) by implementing a scalable AWS data lake (Iceberg, Parquet).
- Optimized core SaaS PostgreSQL database on AWS RDS (read replicas, schema redesign, query optimization), enabling expansion from 6 to 90 markets.
- Cut manual metadata work by 90% through agentic workflows (ChatGPT, Playwright, Python), accelerating data ingestion.
- Developed film revenue forecasting and film similarity models (TSLib, scikit-learn, HDBSCAN) that secured 3 major studio partnerships.
- Worked closely with the executive team to define the strategic roadmap for data-driven products and shape the future direction of the company’s offerings.
- Delivered real-time analytics dashboards (Metabase) reducing ad-hoc requests by 40% and support tickets by 80%.
- Designed automated PDF reporting system (Polars, LaTeX), achieving 96% positive feedback and helping win two $500k contract renewals.
- Built and led a high-performing data team: led hiring (data scientists, software engineers), onboarding, mentoring, and line management.
Jan 2019 - Dec 2021
3 yearsLondon, United Kingdom
Senior Data Scientist
Gower Street Analytics
Position Summary
Senior Data Scientist at Gower Street Analytics
Industries
Media and Entertainment
Business Areas
Business Intelligence
Information Technology
- Developed and deployed a 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 (pandas, scikit-learn, PostgreSQL) 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 both 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, which promoted team collaboration and enabled rapid experimentation. Mentored colleagues on best practices and usage.
Jan 2016 - Dec 2019
4 yearsEdinburgh, United Kingdom
Data Scientist & Mathematical Modeller
Skyscanner
Position Summary
Data Scientist & Mathematical Modeller at Skyscanner
Industries
Tourism
Business Areas
Business Intelligence
Marketing
- 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.
Jan 2012 - Dec 2016
5 yearsEdinburgh, United Kingdom
Teaching Assistant
Heriot-Watt University
Position Summary
Teaching Assistant at Heriot-Watt University
Industries
Education
Business Areas
Research and Development
- Assisted with lectures, tutorials and marking in the following modules: Data Analysis, Probability & Statistics, Financial Mathematics, Differential Equations, Mathematical Modelling.
Industry Experience
See where this freelancer has spent most of their professional time.
Experienced in Media and Entertainment, Information Technology, Education, and Tourism.
Media and Entertainment
Information Technology
Education
Tourism
Business Area Experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Information Technology, Strategy, Research and Development, and Marketing.
Business Intelligence
Information Technology
Strategy
Research and Development
Marketing
Skills
- Python (Pandas, Polars, Scikit-learn, Numpy, Streamlit)
- R (Shiny, Knitr)
- Sql
- Latex
- Aws (Rds, Lambda, Athena, Terraform)
- Docker
- Iceberg
- Duckdb
- Parquet
- Metabase
- Dagster
- Spark
- Langchain
- Xgboost
- Tslib
- Optuna
- Scipy
- Mathematica
- Stan
- Git
- Github
- Postgresql
- Unix/macos
- Windows
Languages
Greek
NativeEnglish
AdvancedGerman
IntermediateEducation
Heriot-Watt University
Ph.D. · Mathematical Modelling · Edinburgh, United Kingdom
National Technical University of Athens
B.Sc. - M.Sc · Applied Mathematical and Physical Sciences · Athens, Greece
Statistics
Experience
Total positions 4
Experience in Media and Entertainment 7.5 y
Avg length 4 y 3 m
Longest experience 5 y 3 m
Global Experience
Countries worked in 1 (United Kingdom)
Primary country United Kingdom
Expertise
Recent roles Data Lead, Senior Data Scientist, Data Scientist & Mathematical Modeller
Main industries Media and Entertainment, Information Technology, Education
Main business areas Business Intelligence, Information Technology, Strategy
Qualifications
Highest degree Doctorate
Profile
Created
Last Update
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Frequently asked questions
Do you have questions? Here you can find further information.
Where is Michael based?
Michael is based in London, United Kingdom.
What languages does Michael speak?
Michael speaks the following languages: Greek (Native), English (Advanced), German (Intermediate).
How many years of experience does Michael have?
Michael has at least 14 years of experience. During this time, Michael has worked in at least 4 different roles and for 3 different companies. The average length of individual experience is 4 years and 7 months. Note that Michael may not have shared all experience and actually has more experience.
What roles would Michael be best suited for?
Based on recent experience, Michael would be well-suited for roles such as: Data Lead, Senior Data Scientist, Data Scientist & Mathematical Modeller.
What is Michael's latest experience?
Michael's most recent position is Data Lead at Gower Street Analytics.
What companies has Michael worked for in recent years?
In recent years, Michael has worked for Gower Street Analytics.
Which industries is Michael most experienced in?
Michael is most experienced in industries like Media and Entertainment, Information Technology, and Education. Michael also has some experience in Tourism.
Which business areas is Michael most experienced in?
Michael is most experienced in business areas like Business Intelligence, Information Technology, and Strategy. Michael also has some experience in Research and Development and Marketing.
Which industries has Michael worked in recently?
Michael has recently worked in industries like Media and Entertainment and Information Technology.
Which business areas has Michael worked in recently?
Michael has recently worked in business areas like Business Intelligence, Information Technology, and Strategy.
What is Michael's education?
Michael holds a Doctorate in Mathematical Modelling from Heriot-Watt University and a Master in Applied Mathematical and Physical Sciences from National Technical University of Athens.
What is the availability of Michael?
Michael is immediately available part-time for suitable projects.
What is the rate of Michael?
Michael's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.
How to hire Michael?
To hire Michael, click the Meet button on the profile to request a meeting and discuss your project needs.
Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
1000
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Market avg: 816-976 €
Market avg: 816-976 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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