Gerry Fotiadis
Senior Data Science And Analytics Manager
London
Summary
Experienced data scientist with management experience and strong technical foundation with 9 years of expertise in advanced analytics and data science. Adept at cultivating a data-driven culture and leveraging insights to drive strategic decisions. Recognized for outstanding analytical, problem-solving, and communication skills, essential for leading teams driving informed decisions in complex environments.
Overview
9
9
years of professional experience
7
7
years of post-secondary education
Work History
Managing Consultant | Senior Data Science and Analytics Manager
MasterCard
1 2023 - Current
- Partnered with the Business Development team as a Advanced Analytics expert during the pre-engagement phase, identifying and securing opportunities that yielded a profit of £371K in 2023/2024
- Led global teams of analysts, delivering successful projects for prominent clients including UBS, NatWest, TESCO Bank, and Santander, contributing £408K in profit in 2023
- Developed and implemented a best practices framework, enhancing collaboration with our internal partner TRUATA, optimizing data communication, and analysis processes; conducted training for multiple analysts to ensure consistent and efficient application
- Engineered and lead UBS's wallet payment analysis, uncovering spending trends, driving customer retention, and directing successful, targeted marketing strategies
- Strategically enhanced NatWest's debit card engagement post VISAMasterCard shift, driving significant user activity and KPI growth through targeted, data-informed campaign execution
- Guided the development of a new debit card for market expansion, employing advanced data clustering and persona profiling to tailor its value proposition to untapped segments, successfully enhancing Santander's market penetration.
Data Scientist
Entain
05.2020 - 12.2022
- Engineered a reactivation model for campaign targeting, resulting in a 42% reduction in communications and a 6.2% (£82.4K annually) decrease in monthly reactivation bonus expenses
- Formulated a retention model tailored to minimize promotions to customers likely to engage, leading to an 18% (£322.7K annually) reduction in weekly retention costs
- Established a poker segmentation strategy, categorizing customers based on volume and performance, facilitating the development of a loyalty scheme that elevated rake efficiency KPI by 12%
- Spearheaded the creation of a bonus optimization engine, integrating models to recommend tailored promotions, enhancing predicted lifetime value while adhering to budget constraints.
Data Scientist
Kindred Group
12.2018 - 05.2020
- Developed prototype Tableau dashboards and established related data pipelines to effectively visualize key KPIs, facilitating a comprehensive analysis of our enhanced lifecycle campaign streams in contrast to legacy and no-stream methods
- Created an experimentation framework to evaluate the effects of winning volatility on player engagement, utilizing two versions of a new casino game
- This led to the selection of the higher volatility version, resulting in an 8% increase in revenue and a 14% boost in session duration
- Managed communications with CRM, overseeing the documentation, utilization, maintenance, enhancement, and testing of our proprietary customer propensity models.
Senior Analyst
Kindred Group
12.2017 - 12.2018
- Conceived and implemented a tailored communication strategy for non-depositing registrants by leveraging web analytics data, resulting in a 2.3% uplift in monthly conversion rates
- Led the recruitment and mentorship of a Commercial Data Analyst and HR Data Analyst, cultivating their skills and contributions to evolve into integral team members
- Engineered a casino slot cross-sell campaign, rooted in insights derived from customer preferences, which yielded a remarkable 16% enhancement in conversion rates.
Data Analyst
Kindred Group
08.2016 - 12.2017
- Formulated criteria to pinpoint bonus abusers and instituted a tagging procedure, yielding an annual saving of £330K in 2018.
Operation Research Analyst
Thomas Cook
05.2015 - 08.2016
- Predicted overnight optimisation time, utilising regression modelling, mitigating the risk of delaying business processes by 75%.
Education
Operations Research, MSc -
University of Edinburgh
09.2013 - 05.2014
Mechanical Engineering, BSc/MSc - undefined
University of Thessaly
09.2005 - 05.2012
Skills
Data Analysis
Technologiesandtools
Python, R, SL, scikit-learn, MLib, Tableau, ggplot, Matplotlib, GCP, Bash, Git, OR Tools, Spark
Timeline
Data Scientist
Entain
05.2020 - 12.2022
Data Scientist
Kindred Group
12.2018 - 05.2020
Senior Analyst
Kindred Group
12.2017 - 12.2018
Data Analyst
Kindred Group
08.2016 - 12.2017
Operation Research Analyst
Thomas Cook
05.2015 - 08.2016
Operations Research, MSc -
University of Edinburgh
09.2013 - 05.2014
Mechanical Engineering, BSc/MSc - undefined
University of Thessaly
09.2005 - 05.2012
Managing Consultant | Senior Data Science and Analytics Manager
MasterCard
1 2023 - Current
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