Colette Ginette N.

Analyze bookstore sales in Python:

• Statistical tests and bivariate analysis to interpret data

• Time series analysis

Analyze e-commerce site sales:

• Generate graphs suitable for data types

• Synthesize results and interpret information

Create and use a real estate database with SQL:

• Update data catalog and create tables

• Run SQL queries to address business problems

Optimize marketing data management for a store in Python:

• Manage errors and inconsistencies in stored data

• Classify different data types

• Perform univariate quantitative analysis to interpret data

Analyze gender equality indicators with Knime:

• Collect data in compliance with GDPR

• Prepare data for analysis in compliance with internal company standards

• Transfer data to a preparation zone

Conduct a study on drinking water with Power Bi:

• Analyze client needs to formulate analytical questions

• Create a dashboard that answers analytical questions

• Generate graphs suitable for data types

• Synthesize results for a client

• Implement and monitor communication plan / Control Google Ads, Facebook Ads performance;

• Manage and moderate various social networks (Facebook, Instagram, Linkedin);

• Analyze and publish content / Reporting and analysis of KPIs and performance;

• Create content (texts, visuals, stories, etc.);

• Design websites: update information, SEO, shop management;

Social media management (Facebook, Instagram, Twitter, and LinkedIn), Design of communication materials (posters, banners, flyers, texts), communication animation and interaction, SEA management, Influencer research for partnerships, Article writing, Digital monitoring, Reporting, KPI analysis, support to the sales department: Phone reception, CRM management (Zoho).