Danilo Manzo Email me

About

I am currently training as a Data Analyst, with a background in Economics and Digital Marketing. I enjoy turning messy data into clear stories that support decisions in marketing, operations and finance.

In 2015, my brother and I co-founded a wine bar in our hometown, and running it is where I developed my strategic thinking. My interest in data grew during a Master in Digital Marketing, E-commerce and CRM at Sole 24 ORE Formazione, building on the descriptive and inferential statistics I studied for my degree in Economics and Business Management.

I am now following the Data Science, Analytics and AI Agents program at start2impact, building skills in Excel, SQL (PostgreSQL), Python and data visualization, and using AI tools to support research and analysis.

After spending time in Ireland to improve my English, I am now looking for internship or junior opportunities in data analysis, and I am open to relocating internationally.

Skills

Data tools

  • Excel
  • SQL (PostgreSQL)
  • Python
  • AI tools for research

Analysis

  • Descriptive statistics
  • Inferential statistics
  • Data cleaning
  • Data visualization

Business

  • Economics
  • Digital marketing
  • Strategic thinking
  • Small business management

Projects

Share of electricity from low-carbon sources in 2019 for 17 of the 20 largest economies, from 94.6 percent in Switzerland to almost zero in Saudi Arabia Switzerland and France lead

Low-carbon electricity share, 2019, largest economies

Featured project

SDG and SQL country analysis

How do the world’s 20 largest economies perform on five UN Sustainable Development Goals (3, 7, 8, 10 and 13)? I answered this with 9 SQL queries in PostgreSQL, then extended the analysis to every country in the datasets and grouped them into four sustainability profiles: encouraging signs, in transition, critical and at risk.

94.6%Switzerland’s low-carbon electricity share, the highest of the group, with France at 90.5%
r ≈ 0.60Moderate correlation between tertiary enrolment and GDP per capita
4Fastest-growing economies 2000–2020: China, India, Indonesia and Turkey
  • PostgreSQL
  • CTEs
  • Window functions
  • Materialized views
  • Excel
  • Data visualization
SQL code on GitHub Read the report (PDF)
Vehicle rentals in cities rated 6 or more for environmental care: 67 cars, 60 bicycles and 57 scooters 676057 CarBicycleScooter

Rentals in cities rated 6+ for environmental care

Airbnb guests and sustainable mobility

A dataset of 300 Airbnb stays: I cleaned it, added calculated fields (total spend, exact age, 0/1 rental flags) and answered 15 business questions on guests, spending and vehicle rentals.

289unique guests out of 300 bookings, after checking duplicates and fixing a misspelled country
117 vs 67low-impact vehicles (bikes and scooters) versus cars rented in the greenest cities
€330average spend per family member
  • Excel
  • UNIQUE, FILTER, SORT
  • Pivot tables
  • Data cleaning
Download the Excel file
Problem, intervention and outcome: 1.7 billion people live where soil degradation cuts yields by 10 percent; restoring 10 percent of degraded farmland could lift 154 million people out of undernourishment each year 1.7 bn people in areas with 10% lower crop yields 10% of degraded farmland restored 154 M people out of undernourishment / year Source: FAO, SOFI 2025 report

Why predicting soil degradation matters

Predicting soil degradation with machine learning

A project proposal linked to UN Goal 2, Zero Hunger: a model trained on ISPRA land indicators that estimates the risk of soil degradation from 0 to 100 and shows it on a map, so governments and NGOs can act before fertility is lost.

MAE 8%accuracy target, set against 10–15% benchmarks, with time-based validation
5-year ROIbusiness metric to judge the economic return of soil restoration
€1.9 Mestimated extra farm output on 10,000 hectares with a 5% yield recovery
  • Machine learning
  • Evaluation metrics
  • Business case
  • Research

Concept proposal, no model built.

Read the proposal (PDF, in Italian)

Also from my training

  • Data-driven strategy for a travel companyWhich KPIs to track, which data roles to hire and how data flows from collection to decisions, for a bus tour operator with electric vehicles. Presentation (PDF, in Italian)
  • Excel fundamentalsSales analysis exercise with SUMIFS, COUNTIFS, AVERAGEIF, conditional formatting, pivot tables and charts.

Training and certifications

  1. March 2026 to March 2027
    Data Science, Analytics and AI AgentsIn progress
    start2impact
  2. June to August 2025
    General English course
    Your English Language School, Dublin
  3. October 2024 to March 2025
    Master in Digital Marketing, E-commerce and CRM in the age of AI
    Sole 24 ORE Formazione
  4. October 2024
    Bachelor’s degree in Economics and Business Management
    Università degli Studi eCampus

Other courses and certifications

  • AI and Prompt Engineering, start2impact certification (assessment passed)
  • English speaking and grammar course, 60 hours over 5 months, Edusogno (online)
  • Business plan development, 40 hours, Forma Camera (2024)
  • Entrepreneurship and innovation for start-ups, CLab@Salento, University of Salento (2019)

Contact

I would be happy to connect with recruiters, HR professionals and data professionals to discuss opportunities and data-driven projects.

Email me Connect on LinkedIn