With over 6 years of experience, I have gained hands-on experience across roles such as ITAD operations, IT consulting (web development, Database Querying), and e-commerce collaboration, all involving structured data management and technical processes. Skilled in managing and validating large datasets, ensuring data accuracy and security, conducting audits, and supporting reporting to maintain data integrity, with the ability to deliver end-to-end data analytics projects from data preparation to insight generation.
I built a solid foundation in database design and SQL during my time in IT consulting, and later applied data-driven insights in Shopify-based projects, analyzing marketing performance and key metrics. This progression led me to further specialize in data analytics, completing a Data Analyst certification in 2025 with hands-on projects focused on analyzing datasets across business domains.
Today, I’m focused on applying data analytics to help teams turn raw data into clear insights, improve processes, and support smarter strategies. I’m particularly interested in collaborating on projects or joining early-stage initiatives where data can create real impact.
About me
Hello and welcome — this is Valerio!
Data Analytics & Business Insights Services
Data Cleaning & Validation
Data Analysis & Insights
Reporting & Dashboard Creation
Dataset Structuring & Preparation
KPI Tracking & Performance Reporting
Operational / Process Data Analysis
End-to-End Data Analytics (OSEMN Framework)
Tools & Software
How I Approach a New Project ?
The OSEMN framework is a structured methodology. Widely used by data analysts and data scientists, OSEMN helps transform raw data into actionable insights through a systematic five-step process.
Obtain (Data Collection) – Gather high-quality data from various sources such as databases, APIs, CSV files, or web scraping to ensure accuracy and relevance for analysis.
Scrub (Data Cleaning & Preparation) – Remove errors, duplicates, and missing values while standardizing and normalizing data to ensure reliability in later stages.
Explore (Data Exploration & Visualization) – Analyze and visualize data using tools like Python, R, Excel, Tableau, or Power BI to uncover patterns, trends, and insights.
Model (Statistical & Machine Learning Modeling) – Apply predictive or descriptive models (e.g., regression, clustering, classification, forecasting) to extract deeper insights from data.
Interpret (Insight & Decision-Making) – Translate model results into actionable insights, communicate findings clearly, and guide informed business decisions.
In one word "OSEMN" or "AWESOME"
What does ‘OSEMN’ stand for?
Excel | Google Sheets | SQL | MySQL | Python etc...