A comprehensive project using Python, APIs, web scraping, and data visualization to identify emerging skills in demand. Includes data collection, wrangling, analysis, visualizations, a Google Looker Studio dashboard, and a final presentation.

Deliverables for the IBM Data Analyst professional Certificate

Dashboard of Employee with detail relation with other factors related to data

Analytics Professional Project Work

Interactive dashboard analyzing UK bicycle accidents (1979–2018) using Google Looker Studio.

Analyse de données sur les facteurs environnementaux Vs biodiversité

Contains of Category of Product, Product Name, Sales Name, and Customer

This project aims to organize and analyze SURE Trust's student data using Python, Google Data Studio, and Sheets. We're uncovering enrollment patterns, demographics, and enrollment influencers through data cleaning and visualization to enhance SURE Trust's student management and experience.

Interactive dashboard analyzing credit card customer behavior, revenue, and risk using Google Looker Studio. Built from private MySkill dataset to uncover insights that support marketing, credit management, and risk mitigation strategies.

Number of Patient, room, list of patient illnesses and the doctor in charge

Project where I prepared two data sources for querying and created a BI visualization in Data Studio. Used tools as Mysql, Looker Studio, Google Spreadsheet and Python.

LinkedIn Profile: www.linkedin.com/in/data-analyst-moldovan-sonia-cristiana

Developed a Dashboard that analyzes the Google merchandise store sales for which we had used the modules like Google Analytics & Google Looker Studio

This project showcases a data engineering pipeline using Google Cloud Platform (GCP) for analyzing taxi trips data from New York City. The pipeline includes steps such as data collection, storage setup, ETL processing, database creation, and data visualization.

An interactive Sales Dashboard built in GoogleLooker Studio using an Excel dataset. Designed in a dark theme, it showcases key KPIs like orders, customers, categories, segments, and shipping modes. It also provides regional and city-level insights along with year-wise and month-wise sales trends for clear sales analysis and decision-making.

End-to-End data engineering project with Google services