Hello, I'm Dimitrios
Business Analyst
Work
Deloitte, Athens, Greece
Consultant | Strategy, Analytics and M&A
Sep 2022 – Sep 2023
Developed business plan and conducted financial due diligence, leading to a landmark $54.7 million sale of 'DeepSea.AI', a leading AI-driven vessel performance and optimization company in the maritime sector
Advised the Greek government in formulating a sustainability-focused strategic plan for the ‘GR-eco Islands’ initiative, allocating $100 million in E.U. funds to position the Greek islands as hubs of sustainable development
Conducted financial impact analysis using an input-output model for a private equity company focused on leisure assets in the Mediterranean, evaluating a potential $150 million investment in the 'Deep Blue Private Island' project
Lightship Chartering, Athens, Greece
Ship Broker / Ship Operator
Aug 2019 – Aug 2022
Negotiated over 35 contracts valued at approximately $50 million, generating over $200,000 in net commissions from renowned firms such as Cargill, Louis Dreyfus Company, Norden, Bunge and MUR Shipping
Coordinated data collection across Athens, London, and Dubai offices, analyzing market indexes in Excel and delivering weekly dry bulk market reports to support decision-making and provide clients with actionable insights
Spearheaded the deployment of a SaaS contract management software, automating charter party drafting and filing to reduce processing times by more than 50%, streamlining invoicing, lay time calculations and freight collection
Workable Software, Athens, Greece
Business Development Associate
Jan 2019 – Jul 2019
Exceeded targeted outreach KPIs, achieving 100% of quarterly sales targets by prospecting and delivering targeted sales pitches to high-potential leads in the North American market
Implemented CRM systems to track customer and prospect interactions, improving sales cycle efficiency by 20% and developed targeted marketing campaigns to nurture leads and drive engagement
Education
University of California, Irvine, Irvine, CA
MS in Business Analytics
Jul 2023 – Aug 2024
Graduated with 3.6
MSBA Student Ambassador
Recipient of Merage merit-based scholarship
University of Strathclyde, Glasgow, UK
MS in Project Management & Innovation
Sep 2016 – Sep 2017
Graduated with a Distinction (1st)
Classes included Project Portfolio Management, Managerial Accounting, Programme and Project Management, Brand Management and Strategy and Business Strategy
Glasgow Caledonian University, Glasgow, UK
BA in Business Management
Sep 2012 – Sep 2016
Graduated with Upper Second-Class Honors (2:1)
Classes included Managerial Finance, Principles of Marketing, Quantitative Business Modeling, Innovation & Change Management and Emerging Business Ventures
Skills
Technical: Excel (Power Query, PivotTable, Power Pivot, Array Formulas, VBA), Python (NumPy, Pandas, Sci-Kit Learn, Matplotlib, Seaborn), R (dplyr, ggplot2), SQL, Tableau, Power BI (DAX), Looker, Alteryx
Language: English, Greek (bilingual), French (proficient), Spanish (basic)
Data Visualization
1. Executive Dashboard for U.S. Healthcare Company
Analyzed >4 mil. transaction records from 2021-2023 and built a Tableau dashboard for executive leadership showing key KPIs and trends.
Sample2. Online Portfolio Performance Dashboard
Built an online portfolio performance dashboard on Looker Studio visualizing Google Analytics 4 data that was natively imported.
Sample3. Online Sales Dashboard
Built a Power BI dashboard analyzing synthetic sales data for an online store.
Sample

Database Querying
1. Superstore Sales Analysis
Used BigQuery to analyze a dataset containing information related to sales, profits and other interesting facts from a U.S. superstore.
Slide Deck2. European Soccer Database
Used BigQuery to analyze match and player performance for the 2008 - 2016 seasons in 8 major leagues.
Slide Deck3. Data Challenge for Major Sports & Entertainment Company
Used Google Colab to analyze a food & beverage sales dataset from 2023 - 2024 and built a Tableau dashboard with useful insights.
Slide Deck

Machine Learning
1. U.S. Real Estate Price Prediction
Developed a Random Forest Machine Learning model aiming to predict U.S. real estate prices based on property features.
GitHub2. Forecasting Super Bowl LVIII
Developed a Random Forest ML model predicting Super Bowl outcomes with 78% accuracy, closely forecasting LVIII scores.
GitHub3. LA Galaxy EAFC 24 Scouting Tool
Created an ML-based scouting tool utilizing EAFC (formerly known as FIFA) data for the 2024 title, aiming to improve the recruitment strategy of LA's biggest soccer team.
GitHub
