💼 Transitioning from Biotechnology to Data Analytics
📊 Passionate about transforming data into actionable insights and building clean, interactive dashboards.
- Bootcamp in Data Science & AI – Le Wagon (2024)
360 hours of intensive training in Python, FastAPI, data analysis, and machine learning.
Final Project: MemeSense – A web app that classifies memes using ML models and FastAPI backend for deployment and inference.
- Google Data Analytics Professional Certificate (v2) – Coursera / Credly
- IBM Data Analyst Professional Certificate (v3) – Coursera / Credly
- Microsoft Power BI Data Analyst Professional Certificate – Coursera / Aligned with the official Microsoft PL-300 curriculum
- Advanced Business Analytics – University of Colorado Boulder
- Excel Skills for Data Analytics and Visualization – Macquarie University
- Data Visualization with Tableau – UC Davis
- Learn SQL Basics for Data Science – UC Davis
- English Advanced C1 – Università di Napoli Federico II
| Category | Tools |
|---|---|
| Data Analysis & Visualization | Power BI, Tableau, Excel |
| Programming & Querying | SQL, Python (Pandas, Plotly, Dash) |
| Data Wrangling | Pandas, Power Query, DAX (basics) |
| ETL & Automation | Power Query, Python |
| Database Management | SQLite, BigQuery (SQL), Excel Data Models |
| Cloud & Tools | Google Cloud (BigQuery), Git & GitHub |
Cleaned, transformed, and analyzed 120K+ inspection records to identify hygiene trends and risk patterns across restaurant categories.
Tools: Excel, Power Query, Power BI
Focus: Data cleaning, KPI creation, trend analysis, dashboard design.
Built a complete SQL + Power BI workflow to analyze patient data and visualize health risk indicators.
Tools: SQL, Power BI
Focus: Relational queries, visualization, and medical data insights.
Performed data analysis on over 100K e-commerce orders to identify delivery performance, revenue trends, and customer satisfaction.
Tools: SQL, Excel
Focus: Query optimization, sales metrics, customer segmentation.
Developed a Power BI dashboard summarizing sales performance and profitability across regions.
Tools: Power BI, DAX
Focus: KPIs, interactive visuals, and dynamic filters.
Designed an ETL process using Power Query and Python to clean and load retail data before visualization.
Tools: Python, Power Query, Power BI
Focus: Automation, data transformation, and dashboard storytelling.
Created a prototype dashboard that simulates real-time financial data visualization using Plotly and Dash.
Tools: Python (Dash, Plotly), APIs
Focus: Real-time data visualization and UI for analytics applications.
⭐ Open to collaboration and opportunities in Data Analytics and Business Intelligence.