Nessim Bisbis

– Supporting around ten clients across various domains mainly RevOps and SalesOps, but also -commerce, finance and ERP – Guiding some clients through their first steps with Tableau as part of Jump Start programs, from initial setup to their first dashboards and reports – Extensively using tools from the Salesforce ecosystem such as Tableau, Salesforce CRM and Data 360 (formerly Data Cloud)

– Contributed to the dynamic growth of PickUp's Lockers team, which more than doubled its number of installed lockers each year since 2021. Lockers team's mission is to expand parcel locker installations across France while monitoring and piloting the activity of existing lockers. My role can be broken down in 2 parts : – Developed a new tool to track lockers' activity and carrier logistics, replacing an old Excel tool which approached obsolescence. Meaning: – Understand a complex data and create a dataflow able to handle large data volumes (tens of thousands of parcels weekly, constantly growing) – Discuss the needs and be force of proposal with the business in order to find the right balance between completeness of data and lightness of the refresh process – Drive the business through the change of their tools and habits. Later, train a member of the business team to make him able to maintain both the data flow and the dashboards – Achieve the MVP delivery within a tight 3-month deadline imposed by the approaching old tool's obsolescence Tools: Alteryx, Power BI, Snowflake – Transformed the prospecting process for new lockers installations, transitioning from a highly manual to an automated approach. Meaning: – Frame the need with the multiple stakeholders (sales teams, lockers deployment team, top management, later billing teams) – Continuously and actively engage and listen to all stakeholders to find automation opportunities – Orchestrate a smooth transition from the old prospecting process to the new one, ensuring a shift without any data loss – Successfully onboarded stakeholders into a rapid habit-changing process within approximately 2 months Tools: Power Automate, Microsoft List, Power BI, Microsoft Forms. Work still progress on the 2 roles...

– 100% remote short-term mission with an Emirati university which has campuses spread in 8 cities all across the UAE. – Contributed to the specification of Power BI dashboards and a web application both designed to display, analyze, and run predictive models on data related to students and university resources. My role consisted in specifying all aspects of the solution to ensure that it met the institution's analytical and operational needs

– Continuation of the previous L'Oreal mission with the Professionnal Products Division. The goal of my mission has been/is to resume the work started a year before in order to : – design the new version of the ACCESS BI I had built before – specify the new ACCESS BI version to developers – work with the education team to drive the release of this second version for 200+ users – manage expectations and onboard users on this new ACCESS BI version

– Leocare is a fintech insurance startup. Goal of this mission has been to build 2 sets of dashboards : – first one, built with the actuaries, to show claims versus the primes to monitor the rentability – second one focused on the usage metrics of Leocare app itself

– Within the Matrix key digital program which aims to set up a data science model in order to optimize marketing campaigns my role has been to make the link between data scientists and the business and to ensure that clean data inputs the model, meaning: – communicate with the 3 countries I was responsible for to make them validate the data they send us from a business point of view – technically clean and put data into the right format to fit what the model expects. Then show it on dashboards to business and data scientists to make sure it suits everyone – detect, explain and fix errors with the right stakeholders (business, IT and/or data scientist)

– L'Oréal Professionnal Products Division is building a worldwide e-learning platform to educate stylists and salons owner. L'Oréal ACCESS is an e-learning platform created by L'Oréal PPD in order to maintain a close relationship with stylists, get data from them and ultimately drive up sales. Starting from scratch, I had to build the BI around the L'Oréal ACCESS platform, meaning: – understand L'Oréal people's needs in terms of data analytics – be force of proposal in terms of data visualization – understand and adapt to IT constraints of the project – define a clear road map in a constantly changing environment. Even during covid because it has boosted the number of users and the appeal of the ACCESS for L'Oreal's stakeholders – lead the BI team (3 persons at max) to develop and continuously improve dashboards – onboard the various L'Oreal players to show them why and how the BI is working. In this context animated monthly meetings with 50-100 ACCESS BI users online.

– Two long-term KYC/AML data science projects within Compliance team of Société Générale (R language and Python) : – Clients rating : modelling, data cleaning, performing simulations and model's results analysis with French and foreign entities in order assign a risk rating to each customer of the bank – Transactions monitoring : worked with foreign entities to treat AML data in order to identify riskier clients among transactions datasets – Data Auditing and Process Mining Analysis : anomalies detection in client's ERP data to improve clients' processes and/or help auditors in their work (SQL, Alteryx, Tableau, Celonis, Python) – Built a Telegram chatbot as a Proof of Concept (Python, Docker) – Built a machine learning algorithm on a AML use case (Python) – Built a smart data conversion algorithm (Python)

– Founded a start-up. Making and selling to cities apps to allow them to better communicate with their citizens and get data about them : – Founded a team that went up to 5 members – Created automated tools to prospect new clients and get back all tracking data (Email, SQL, Java, PHP) – Statistical analysis of our business and our product (SQL, R, Python, Google Analytics) – Built our iOS App from scratch with no previous knowledge (Swift) – Business development. Sold our app to 3 towns : 1 in France and 2 in Quebec

– Short-term consulting mission during which : – created a data visualization with Tableau Software with the client’s data – deployed it on the web with Tableau Online/Server and Javascript/MySQL

– Internship. Participation in the technical and business development of ICANIC, a scoring patent software: – Created a demonstrator of ICANIC with Tableau Software – Help benchmarking the software with 5 big tester companies: analyzed results of model (fit with real-life and influence of variables)