Name: Zofia Quillet
Type: User
Company: SwissCaution
Bio: Data Analyst with experience in International Operations and Business Management 🌍 Certified Google Advanced Data Analytics Professional
Location: Geneva, Switzerland
british_airways_sentiment_analysis_predictive_modeling
🎯 Company sentiment analysis and customer behaviour prediction - use of Python and JupyterLab (Data webscraping, Cleaning, EDA, NLP, Classification, and Data Visualization)
co2_dashboard_panel
🎯 Interactive dashboard for tracking world CO2 emissions over time - use of Python, Panel and JupyterLab (Data collection, Cleaning and Application development)
credit_risk_pyspark
🎯 Credit risk detection - use of PySpark, Python and JupyterLab (Data collection, Cleaning, EDA, Regression, Classification, Statistical tests, and Data Visualization)
customer_behaviour
🎯 Customer behaviour and sales analysis for a national bookstore library willing to adapt its digital vs. instore strategy - use of Python and JupyterLab (Business insights, Data collection, Cleaning, EDA, Market Segmentation, Time Series analysis, Statistical tests and Data Visualization)
data_cleaning_sql
🎯 Real Estate data cleaned with SQL - use of Microsoft SQL Server and SSMS
employees_resignation_classification
🎯 Workforce analytics for a company seeking to boost employee retention and job satisfaction - use of Python and JupyterLab (Business insights, Data collection, Cleaning, EDA, Classification, and Data Visualization)
european_flights_graph_networkx
🎯 Geospatial representation of European airline routes - use of Python, Basemap, Graph, Networkx and JupyterLab (Data collection, Cleaning, and Data Visualization)
fraud_detection_machine_learning
🎯 Fraud prevention, counterfeit currency detection system - use of Python and JupyterLab (Data collection, Cleaning, EDA, Regression, Classification, Clustering, Statistical tests, and Data Visualization)
geocoding_r_tableau
🎯 Building permits trends between 1990 and 2020 in the county of San Francisco, USA - use of R, RStudio, and Tableau (Data collection, Cleaning, and Data Visualization)
hunger_study
🎯 Global study to tackle hunger worldwide and support FAO's mission - use of Python and JupyterLab (Background research, Data collection, Cleaning, EDA, and Data Visualization)
justjoin_webscraping_classification
🎯 IT industry insights - use of Python and JupyterLab (Data collection, Cleaning, EDA, Classification, and Data Visualization)
market_research_nlp_clustering
🎯 International market analysis and optimization program for reducing food waste and improving the vegetable export industry - use of Python, JupyterLab and NLP (Background research, Data collection, Cleaning, EDA, Unsupervised Machine Learning, Factorial method, HCA, Clustering, Data Visualization and 10-year projection with Sankey Diagram
ngo_global_water_study_tableau
🎯 Worldwide study to address clean drinking water challenges and support NGOs' missions - use of Python, JupyterLab and Tableau (Background research, Data preprocessing, Cleaning, and Data Visualization)
nlp_libraries_tweets_analysis
🎯 Exploration of NLP libraries (nltk, spacy) and tweets analysis - use of Python and JupyterLab (Data collection, Cleaning, EDA, Classification, and Data Visualization)
nyc_taxis_streamlit
🎯 Application for interactive analysis of January 2023 NYC Taxi rides - use of Python, Streamlit and JupyterLab (Data collection, Cleaning and App development)
professional_inequalities_knime
🎯 Gender inequality at work - use of KNIME (Background research, GDPR, Data governance, ETL, EDA, Data cleaning and validation, Statistical tests with R, and Data Visualization)
real_estate_sql
🎯 Database development and query implementation to identify growth opportunities for a Real Estate company looking to expand their operations - use of UML modeling, SQL and MySQL (Business insights, Data collection, Data preview and modelization with SQL Power Architect and Microsoft Excel / Power Query, and database conversion to MySQL using SQL)
sales_analysis
🎯 Database optimization and sales performance analysis for a fine wine company seeking to improve their data management practices and data maturity level - use of Python and JupyterLab (Business insights, Data collection, Cleaning, EDA, and Data Visualization)
smart_device_consumers
🎯 Customer behaviour analysis for a high-tech manufacturer willing to enhance their marketing strategy - use of R and JupyterLab (Business insights, Data collection, Cleaning, EDA, and Data Visualization)
survey_dashboard_powerbi
🎯 Interactive dashboard presenting the results of a data professional survey - use of Power BI (Data cleaning and Dashboard development)
virtual_assistant
🎯 AI-powered chat assistant based on OpenAI's GPT architecture - use of Python, JupyterLab, and Gradio (Data collection and Application development)
zofiaqlt
Landing page layout
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
