Alia Boudehane

Assisting students in their learning of data science and artificial intelligence:

Implementing a tailored pedagogical approach to facilitate understanding of key program concepts.

Helping with problem-solving and skill acquisition.

Covering the following topics:

➣ Python and data manipulation: fundamentals, Pandas, Numpy, data quality

➣ Data Visualization: Matplotlib, Seaborn, storytelling, Plotly

➣ Machine Learning: classification, regression, pipelines

➣ Data Analysis: dimension reduction, clustering

➣ Text data management and extraction: text mining, web scraping

➣ Business Intelligence: Power BI, Tableau, Looker Studio

➣ Big Data and Databases: SQL, data processing, data modeling

In collaboration with the schools of the OMNES Education group and DataScientest. Leading practical sessions in French and English for the TechAway project, aiming to provide training courses to over 15,000 students from the group's schools.

➣ Data Analysis

Implementing data solutions in companies to limit project risks.

Creating dashboards in response to specific client needs.

Using Python for operators, tests, and loops, as well as Prompt Engineering to optimize prompts.

Connecting to data sources and transforming them via Power Query, followed by report creation in Power BI with DAX for measures and calculated columns, integrated into visualizations.

➣ Programming

Developing Python skills with operators, tests, and loops.

Using Numpy to manage arrays and statistical indicators.

Managing data quality, including handling missing and outlier values.

Executing SQL queries on databases.

Designing and scoping data science projects with exploratory analysis, from data understanding to applying regression models in concrete cases.

➣ No Code

Utilizing Google Sheets for advanced functions and formatting.

Optimizing prompts with Prompt Engineering.

Using Airtable to create and manage databases.

Automating tasks via Make.

Applying SQL queries in specific marketing cases.

Managing a marketing campaign with CRM, from conception to email automation.

Creating dashboards in Looker Studio from raw data, with a focus on UX/UI to meet client needs.

➣ Management and Coaching

Daily supervision of the team.

Developing coaching plans to improve skills.

Leading meetings to align objectives and motivate.

Managing internal conflicts.

Conducting performance reviews.

Preparing development plans and objectives.

Providing feedback, monitoring sales objectives, and optimizing.

➣ Development and Training Monitoring

Creating and managing continuous training programs.

Identifying needs and organizing suitable sessions.

Monitoring and adjusting development plans.

Mentoring for professional growth.

➣ KPI Analysis and Monitoring

Monitoring KPIs to evaluate effectiveness.

Analyzing data to identify trends and opportunities.

Regular reporting to management.

Implementing corrective measures.

➣ Team and Relationship Management

Coordinating daily activities.

Implementing procedures to ensure efficiency.

Managing resources and schedules.

Supervising customer service and strategies to improve patient experience.

Monitoring satisfaction and resolving issues.

➣ Interdepartmental Collaboration

Coordinating with other departments for smooth integration.

Interdepartmental meetings to align objectives.

Communicating needs and feedback to management.

➣ Resource Management

Allocating necessary resources.

Monitoring inventory and managing orders.

Managing budgets for training and development.

➣ Compliance with Internal Standards and Processes

Ensuring compliance with hygiene and safety standards.

Adhering to internal regulations and policies.

Analyzing and improving internal processes.

Implementing new procedures for greater efficiency.

Adhering to quality and safety standards.