Hello, I'm Dimitrios

Business Analyst

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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)

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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.
Sample
2. Online Portfolio Performance Dashboard
Built an online portfolio performance dashboard on Looker Studio visualizing Google Analytics 4 data that was natively imported.
Sample
3. 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 Deck
2. European Soccer Database
Used BigQuery to analyze match and player performance for the 2008 - 2016 seasons in 8 major leagues.
Slide Deck
3. 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.
GitHub
2. Forecasting Super Bowl LVIII
Developed a Random Forest ML model predicting Super Bowl outcomes with 78% accuracy, closely forecasting LVIII scores.
GitHub
3. 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

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