Inès NABIL

- Defined and communicated the product vision and roadmap for a Global Trial Management application, ensuring alignment with R&D strategic priorities and stakeholders needs - Gathered and translated business requirements into epics, user stories and acceptance criteria, enabling tech teams to deliver features with measurable impact. - Facilitated stakeholder workshops, engaging field scientists, heads of agronomy, and product sponsors to capture requirements and ensure user adoption. - Prioritized backlog items to maximize ROI and accelerate adoption. - Defined KPIs to monitor adoption, data quality, and process efficiency improvements. - Led cross-functional agile teams (data engineers, analysts, finance controllers, Chief Financial Officer) to deliver iterative releases, ensuring user-centric delivery in an international context.

- Project Management Led the data migration stream within a large-scale pharmaceutical transformation program, acting as PMO to coordinate international teams. Facilitated workshops with stakeholders to capture pain points, define requirements, and align on migration strategy. Bridged business and technical teams to resolve data issues and ensure smooth execution across systems. Managed backlog and agile rituals to monitor progress and secure timely delivery. Improved data reliability and accessibility, enabling faster adoption by end-users across multiple business units. - Analytics Engineering Designed & built an end-to-end analytics application to automate the delivery of ESG templates Developed workflows and implemented data quality controls Created a user-friendly interface & an output reporting module providing data lineage and quality details, eliminating the “black box” effect Conducted operational and technical acceptance testing Automated the full application lifecycle, from ingestion to reporting Authored functional and technical documentation Agile methodology - Data Analysis & Visualisation In order to monitor the key performance indicators of a bank's Executive Committee's data management and data projects, I created a Power BI dashboard Data processing and cleansing Creation of KPIs according to given functional specifications Restitution to the client - Data Management & Strategy Support for the Chief Data Officer in defining her Data Management Plan : Data Maturity Assessment to evaluate the group's data maturity, taking into account the following dimensions: data use, data culture, data governance, protection and ethics as well as Green topics, technologies and tools used, and finally the program, resources and organization put in place to execute the strategy Development of a use case for one of the bank's department Definition of the Target Operating Model

- Finance Controlling Cloud Project End-to-end data integration for the implementation of a self-service BI cloud solution. Development and automation of data pipelines Data modelling optimisation Creation of tables and data mart Development & management of data quality alerts Functional & technical documentation - Data Vizualisation Project Data integration, modelling, cleaning, analysis and visualization of HR data to manage the resources allowance within the D&A department. - IT Portfolio Management BI Project Functional documentation & tests of a self service BI solution developed to manage the IT portfolio Tools : Informatica Cloud, Azure Data Factory, Snowflake, Databricks, PowerBI Environment : Microsoft Azure Technologies : Python, SQL

Study and analysis of Airbnb data- Python & Google Colaboratory The aim of this analysis is to measure the evolutions and changes that the AirBnB platform is establishing in the economic dynamics of the South of France region, and then to distinguish the resulting effects and opportunities from a territorial development point of view. Processing unstructured data and segmenting data into several sub-databases to facilitate data manipulation Management of data quality issues Categorization of data according to established specifications Creation of new columns calculated on the basis of existing data Exploratory and descriptive analysis Data visualisation with Python Restitution of an analysis report containing the results obtained, their interpretation and the study conclusion

- Patient search application - Python Development in Python of an application that determines the patients that are eligible for a planned clinical study, based on medical criteria entered by the coordinating doctor, and then returns the list of eligible patients, thus simplifying the work of medical operators. Development of an interface that permits to the user to indicate the eligibility criteria, including the genetic mutation sought. Development and integration of a calculation module for the genetic mutation, using natural language processing functions. At the output, the application returns an excel file containing the list of patients and their medical data. - Tools for auditing discharge letters - Python Development of a tool to check the conformity of discharge letters given to patients in order to meet legal medical quality standards; reducing the rate of non-compliant documents by providing feedback to the doctors concerned, and reducing the risk of financial penalties for the clinic. Development of a tool in Python with the help of NLP functions which analyze a PDF file and detect whether the various sections of the document are correctly filled in. Automation of the tool so that it scans documents in a given directory. At the output, an excel file is returned, specifying the title of each non-compliant document, the name of the doctor and the section(s) not filled in. - Biostatistical analysis of a clinical study - SAS Descriptive statistics / preliminary exploratory analysis Drafting of an interim report for presentation to the study coordinating physician Final analysis taking into account the physician's indications Restitution of final report

Within the Marketing Department: - Analysis of software sales by publisher, then by customer - Preparation of statistical reports - Discovery of the sales profession Tools : Excel, PowerBI, CRM. colleagues