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Fotis Zapantis

@fotiszapantis1

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Data Scientist with 9+ years in transportation and analytics.

United Kingdom

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can leverage my data science expertise to drive impactful decisions and contribute to safety and efficiency in transportation.

I am a dedicated Data Scientist with over 9 years of experience in the transportation sector, specializing in business intelligence, safety intelligence, and financial risk analytics. My educational background includes a Master’s degree in Electrical and Computer Engineering, where I focused on Systems and Automatic Control. I have a proven track record of leveraging data to drive safety improvements and optimize decision-making processes.

Throughout my career, I have worked with various organizations, including Transport for London and the Rail Safety and Standards Board, where I developed advanced statistical methods and machine learning algorithms to analyze safety-related incidents. My work has not only improved safety performance but also enhanced collaboration within the rail industry. I am passionate about using data to solve complex problems and am always looking for innovative ways to apply my skills in new projects.

Experience

Work history, roles, and key accomplishments

Current

Transport Planner

Current

Transport for London

Aug 2022 - Present (3 years 3 months)

Working in the area of data validation and data analysis for NACHS5G and Demand Forecasting. This role involves ensuring the accuracy and reliability of transportation data for critical planning models.

Data Validation Data Analysis demand planning Data Modelling

Data Scientist - Senior Intelligence Analyst

Rail Safety and Standards Board

May 2016 - May 2022 (6 years)

Integrated statistical methods to spot trends in safety-related incidents on the UK mainline network. Developed NLP algorithms for pattern detection and communication of safety performance to stakeholders.

Statistical Analysis NLP Python Excel Azure Data Science

Consultant, Quantitative Modelling

Jacobs Technology

Nov 2015 - Feb 2016 (3 months)

Reviewed and modified algorithms to quantify structural failure risk and financial performance of assets. Spearheaded the transition from Weibull to a K-M curve for improved analysis.

Asset Management FMECA Cost Benefit Analysis Forecasting

BI Developer

Lloyds Bank

Dec 2014 - Oct 2015 (10 months)

Worked with business to strategically address customer cohorts' financial risk whilst providing analytical and MI support. Introduced machine learning methods to ensure non-discriminatory decision thresholds in PPI granting scenarios.

Business Intelligence Risk Machine Learning Data Analysis Compliance

Software Engineer, Advanced Technology

Accenture UK

Aug 2013 - Oct 2015 (2 years 2 months)

Identified client requirements and discovered what's possible within their existing framework while working with onshore and offshore delivery teams. Focused on risk and fraud analytics, smart metering, and billing for Fortune 500 companies.

Software Engineering Smart Meters Business Intelligence Data Mining

Data Engineer

EDF Energy

Oct 2013 - Nov 2014 (1 year 1 month)

Worked cross-functionally to guide the evolution of smart installations and metering against technological risks. Developed all relevant data mining and management processes to provide test data to billing and industry teams.

Data Engineering Data Mining Data Management Smart Meters Automation

Research Engineer

UCL Faculty of the Built Environment

Mar 2013 - Jul 2013 (4 months)

Successfully assisted in analyzing and deploying augmented network infrastructure to capture position data. Produced timely results in line with project scope and allocated budget for two major pilot studies.

Research Data Analysis Infrastructure Project Management Data Visualization

Supply Chain Analyst

Hellenic Telecommunications Organization (OTE S.A.)

Jun 2010 - Sep 2011 (1 year 3 months)

Designed cost and time-to-ship optimizations for the Sales and Supply Chain Management departments. Developed supply chain performance scorecards by analysing and merging multiple data sources.

Cost Optimization Time To Ship Optimization Data Analysis Web Scraping

Education

Degrees, certifications, and relevant coursework

University of Patras, School of Engineering

MEng in Electrical and Computer Engineering, Electrical and Computer Engineering

Grade: 1st class

Specialized in Systems & Automatic Control, achieving a 1st class honors. The curriculum covered a broad range of topics within electrical and computer engineering.

RWTH Aachen, Dept. of Computer Science

Study Semester (Erasmus student exchange programme), Computer Science

Participated in an Erasmus exchange program, focusing on advanced topics in computer science. Coursework included Virtual Reality, Pattern Recognition, and Simulations.