Jean Lescut-Müller Email & Phone Number

Zurich, Switzerland

Bellevue, Geneva, Switzerland

𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗔 (𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁𝗶𝗮𝗹, 𝗱𝗼𝗻𝗲 𝗳𝗼𝗿 𝟭 𝗠𝗮𝗶𝘀𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗴𝗿𝗼𝘂𝗽) :ㅤ- Tech Lead in a 4-member team (including 1 DS intern, 1 Data analyst, and 1 Business Analyst) aiming ㅤㅤat clustering website visitors, and predicting client LTV & conversion probability. ㅤ- Client activations in 3 steps : worked closely with Richemont Marketing for CRM Activation,ㅤㅤRichemont Media for Media activation, and with Group Tech for Website Activation.𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗕 (𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁𝗶𝗮𝗹, 𝗱𝗼𝗻𝗲 𝗳𝗼𝗿 𝟭 𝗠𝗮𝗶𝘀𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗴𝗿𝗼𝘂𝗽) :ㅤ- Tech Lead for a 4-member team (including 1 Data Scientist, 1 ML Engineer, 1 FE dev) to develop aㅤㅤDash-based web app forecasting demand and optimising client satisfaction.

Geneva Area, Switzerland

𝗜𝗻 𝗰𝗵𝗮𝗿𝗴𝗲 𝗼𝗳 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 & 𝗰𝗼𝗮𝗰𝗵𝗶𝗻𝗴 𝟮 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 𝗼𝗳 𝘁𝗵𝗲 "𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻" 𝘁𝗲𝗮𝗺 𝗼𝗳 𝘁𝗵𝗲 𝗴𝗿𝗼𝘂𝗽 :ㅤ- Upstream of development :ㅤㅤ- Initiated numerous DS projects : proposal, framing, effort sizing, stakeholder management. - Culture : evangelising a "client-centric" vision through the group.ㅤ- Development :ㅤㅤ- Structure & methodology : data retrieval, EDA, cleaning, feature engineering, MVP, ㅤㅤ productionalization, progressive deployment, maintenance & monitoringㅤㅤ- task prioritisation, follow-ups, escalation, helped when needed, and sometimes more "hands-on"ㅤㅤㅤML training, and pair-coding for the most junior team memberㅤ- Downstream of ML development :ㅤㅤ- DevOps good-practice, help on deployment.ㅤㅤ- Design of monitoring framework & requirements, choice of tools𝗔𝘀 𝗮𝗻 𝗶𝗻𝗱𝗶𝘃𝗶𝗱𝘂𝗮𝗹 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗼𝗿 :ㅤ- Daily tools : Python, Scala, Spark, Hive & Presto, AWS, Unix admin, among others.ㅤ- Consumer demand forecasting (Bayesian auto-regressive model), by products (hotel), and brands.ㅤㅤAutomatic retraining on a daily basis.ㅤ- Optimising online CVR by applying optimal discounts (based on price elasticity, predicted by ML)ㅤ- Anomaly detection (Monitoring & Alerting), currently applied to different projects.ㅤ- Harmonisation of KPI definition (customer LTV & retention KPIs) & stakeholder mediations

Paris Area, France

Managed 4-member team to "stabilize" (and make ready for production) a Spark Streaming application used for Anomaly Detection in IT System, hence exposing intrusions or Cyber-threats like APTs. The team was composed of data scientists, backend and frontend developers, using Agile (scrum) methods

Paris Area, France

Numerous mission for various clients, including (but not limited to) :- L'Oreal (Data Science for R&D of new products) 1) Responsible of a project to predict microbiological sterility of products. Proposed, designed, implemented a machine learning model, then monitored and maintained it in production. Managed stakeholders, communicated KPIs resulting in 30% decrease in cost of microbial tests. 2) Pitched and sold to the client a complete redesign or 1 of their product, shifting from R code to more modern technologies : Python & Spark

Paris Area, France

Numerous mission for various clients, including (but not limited to) :- Audit firm (HR Predictive Analytics)Framed, designed and implemented a predictive tool for employee departure using signals from social networks and Survival analysis- Boehringer-Ingelheim (Data Science for Marketing)Helped to establish a marketing plan : which pilot region to target and how to promote a new medical device. (Pharmacies clustering and elasticity estimation)- Multinational company in Telecommunication (Data Science for Marketing)Customers clustering (DBSCAN) and standard data analysis of survey (MFA, PCA, etc.) Flew abroad to present results to A-level executives

Paris Area, France

Scoping of the project about optimising network for a transporter: dispatch and schedule pickups and deliveries of goods in the most efficient way as possible

Greater New York City Area

Among other clients, FreshDirect : - Proposed and Designed an algorithm based on Genetic Algorithm to optimize inventory placement - Analysed results and presented recommendations to client, reducing picking time (the main source cost) by 5%.

Msc, Management Science & Engineering

This 4-semester, 12-course program, offered by the IEOR (Industrial Enginnering & Operations Research) Department in conjunction.

Master'S Degree, Management Science & Engineering

Business Analytics Strategy, Quantitative Pricing & Revenue Analytics, Corporate Finance & Accounting, HR management

Engineer'S Degree, Engineering, Gpa : 3.9/4

Activities and Societies: Students Representative (elected twice in 2010 & 2011), campus band (drum player) Engineering degree of the top.