Michalis Vardakis
London
Summary
I am a professionally and academically equipped Data Scientist with 12years’ experience in statistical analysis, data mining, model development and deployment in diverse applications. My versatility towards new analysis and visualization of large, complex and often messy data sets has proven to be one of my key strengths in my analytics career to date. As an energetic and motivated individual, I am looking to further develop my skills in a data rich environment, where I can showcase the power of data using data science. I am fluent in Python and R in programming as well as SQL. Finally, my biggest strength is implementing end to end solutions/ products either on cloud (e.g.AWS, Databricks) or on prem. From data pipelining to data science, operationalizing developed models and visualizing in streamlit or other BI tools always with the principle of solving for real business problems!
Overview
9
9
years of professional experience
20
20
years of post-secondary education
Work history
Global Analytics team head of commercial data science
Kenvue
London
02.2023 - 06.2025
- Category forecasting global project to feed Business Annual Planning &3 years operations planning
- Revenue Growth Management, Technology enablers project. AI/ML to understand Trade Promotion Optimisation, Range optimisation.
- Hot to win Analysis on Digital self using Amazon data. Consulting on opportunities and decomposes the level of influence of Rates &Review, Content, Digital-self
- Applying GenAI product for topic and sentiment analysis on ratings and reviews
- New product innovation forecasting, winning traits of products, incrementality.
- Measuring the impact of Perfect Store metrics to the revenue
- Using LLMs to enrich our data for modelling
- Building an managing Data science team to deliver above projects.
- Developing the Data and Analytics strategy Global Data Science team
- Connecting IT with sales department and showcase their role in the new era of data and analytics
Head of Data Science CxO
Johnson&Johnson Consumer
London
07.2022 - 02.2023
- Revenue Growth Management, Technology enablers project. AI/ML to understand Trade Promotion Optimisation, Range optimisation.
- Programmatic Media Custom bidding algorithms
- Marketing: audience verification project. Connect Reach with Penetration and ROI
- Advanced Sales Forecasting using both IID methodology and time series analysis in ML framework in python in AWS
- Amazon MTA analysis for amazon specific media with Amazon Marketing Cloud data
- Amazon study: How to Win analysis that decomposes the level of influence of Rates &Review, Content, Digital-self
- Design smart Reports and Dashboards in explainableai
- Developing the Data and Analytics strategy and collaborating with Global Data Science team.
- Connecting IT with sales department and showcase their role in the new era of data and analytics
- Consulting and cooperating with multiple stakeholders. External media agencies (IPG) and internal stakeholders: EMEA and Global teams
- Data Science as a product
- Johnson&Johnson Consumer (London, UK)
Senior Data Scientist
Suntory Beverage Europe
London
06.2020 - 07.2022
- Company Overview: Suntory Beverage Europe (London, UK)
- Revenue Growth Management, Technology enablers project. AI/ML to understand Trade Promotion Optimisation, Range optimisation.
- Supply Chain Predictive analytics in demand forecasting and predictive maintenance
- Advanced Sales Forecasting using both IID methodology and time series analysis in ML framework in python and Driverless.ai in AWS
- AWS Data platform architecture with Glue, SQS, Lambda, DynamoDB, Athena and Redshift.
- Design smart Reports and Dashboards in Power BI & Python
- Developing the Data and Analytics strategy and collaborating with Suntory Japan in data science.
- Organizing and training people to data science.
- Connecting IT with sales department and showcase their role in the new era of data and analytics
- Consulting and cooperating with multiple stakeholders. External agencies (Accenture) and internal stakeholders: Centre of Excellence in RGM, CTO/CIO, Supply chain
- End to end role from data engineer, data analyst to data scientist
- Managing a small team of Data Scientists
Data Scientist
Lucozade Ribena Suntory
London
11.2018 - 06.2020
- Promotion evaluation tool, that captures, pre/during and post evaluation. Applying predictive analytics to forecast epos sales on and off promotions. Benchmark which promotion worked the best for which retailer. £1M estimated savings
- Sales Forecasting using both IID methodology and time series analysis in H2O and Facebook prophet in Python
- Evaluating the site activation campaign in big retailers
- Building a data infrastructure and connecting fragmented data resources. Using SQL, Python and R
- Design smart Reports and Dashboards in Power BI &Python
- Developing the Data and Analytics infrastructure for Suntory Beverage Food Europe (the parent organization of LRS)
- Connecting IT with sales department and showcase their role in the new era of data and analytics
- Consulting and cooperating with multiple stakeholders. From finance, and marketing, developers as well as external agencies and consultancies such as IRI, Kantar and CPM
- Developing and maintaining Online Dashboards in Shiny
- End to end role from data engineer, data analyst to data scientist
Senior Data Analyst, Business Performance and Science Manager
Save the Children International
London
05.2017 - 11.2018
- Developing predicting time-series based algorithms to assist investment member countries with financial planning and assist SCI to invest in the best ROI fundraising channel using R: forecast package ARIMA and SARIMA models
- Developing and maintaining Online Dashboards for representing core KPIs
- Building a database from scratch! Coordinating a project of 20 different member countries for a full automatization in extracting local data from various sources and host them centrally.
- Attrition of donors modelling with R
- Developing new tools to create a thorough benchmarking process both within the organization and externally by comparing fundraising activity of other international NGOs.
- Managing a small team of business analysts.
- Consulting and cooperating with multiple stakeholders.
Modelling Analyst
Capita
01.2016 - 05.2017
- Developing and implementing and evaluating strike potential models in Field Operations. Predictive modelling using Machine learning (Random Forests for this problem) in python and H2O. Final model return £500K
- Dealing with big complex data sources by using numerous data handling software (SQL, R, Python) in order to support and monitor campaign and strategic activity for Field Operations giving analytic solutions.
Education
PhD - Predicting discrete breeding choices from a complex dataset, Research and Development of Statistical techniques analysing with discrete choice models, animal models (linear mixed models with pedigree data), machine learning techniques
University of Antwerp
03.2012 - 06.2025
MSc - Environmental and Resources Management
Vrije University
09.2009 - 09.2010
MSc - Ecology and Evolution
University of Amsterdam
09.2006 - 02.2009
BSc - Biology
University of Crete
09.2001 - 01.2005
Skills
- Python
- R
- H2Oai
- RStan
- Matlab
- SQL
- Amazon Web Services
- Databricks
- Power BI
- Streamlit
- Microsoft Office Suite
- Excel-VBA
- Latex
- Communication skills
- Team building
- Problem-solving
Custom
- 2012 - 2015, Coursera courses all with distinction including: Machine learning (Stanford University), Mathematical (John Hopkins University) Biostatistics(John Hopkins University), Computing for Data Analysis(John Hopkins University), Data science specialization (John Hopkins University)
- 2007, ESRI Internet courses (introduction to GIS, Spatial analyst)
Languages
English
Fluent
Dutch
Fluent
Greek
Native
Timeline
Global Analytics team head of commercial data science
Kenvue
02.2023 - 06.2025
Head of Data Science CxO
Johnson&Johnson Consumer
07.2022 - 02.2023
Senior Data Scientist
Suntory Beverage Europe
06.2020 - 07.2022
Data Scientist
Lucozade Ribena Suntory
11.2018 - 06.2020
Senior Data Analyst, Business Performance and Science Manager
Save the Children International
05.2017 - 11.2018
Modelling Analyst
Capita
01.2016 - 05.2017
PhD - Predicting discrete breeding choices from a complex dataset, Research and Development of Statistical techniques analysing with discrete choice models, animal models (linear mixed models with pedigree data), machine learning techniques
University of Antwerp
03.2012 - 06.2025
MSc - Environmental and Resources Management
Vrije University
09.2009 - 09.2010
MSc - Ecology and Evolution
University of Amsterdam
09.2006 - 02.2009
BSc - Biology
University of Crete
09.2001 - 01.2005
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