Nahuel Grasso Email & Phone Number
Who is Nahuel Grasso? Overview
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Nahuel Grasso is listed as Lead Data Scientist at InVivo Digital Factory, a with 66 employees, based in Paris, ÎLe-De-France, France. AeroLeads shows a matched LinkedIn profile for Nahuel Grasso.
Nahuel Grasso previously worked as Lead Data Scientist at Pernod Ricard and Data Scientist at Pernod Ricard. Nahuel Grasso holds Master Of Science In Analytics (Graduated), Analytics, Gpa: 3.73 from Louisiana State University Isds.
Email format at InVivo Digital Factory
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About Nahuel Grasso
Nahuel Grasso is a Lead Data Scientist at InVivo Digital Factory. He possess expertise in sql, english, javascript, microsoft sql server, microsoft office and 20 more skills. He is proficient in Italian, German, French and English. Colleagues describe him as "Nahuel es una persona dedicada y muy aplicada, la cual tiene muchos conocimientos adquiridos y sabe aplicarlos muy bien en la practica tanto a la hora de desarrollar como de coordinar las tareas que realizan sus compañeros. De haber trabajado en 2 proyectos con el pude conocer su buena predisposición a colaborar con sus compañeros así como también su virtud para no rendirse y brindar el máximo en cada entrega para cumplir tanto con los plazos como con la calidad de su trabajo."
Listed skills include Sql, English, Javascript, Microsoft Sql Server, and 21 others.
Nahuel Grasso's current company
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Nahuel Grasso work experience
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Lead Data Scientist
CurrentLead the Data Science team working on Marketing Effectiveness for the USA, Top 1 Advertising & Promotion country • Lead of a 5 people team: 3 Data Scientists & 2 Data Analysts • Technical backlog prioritization• Solution deployment and industrialization • Communication with internal clients --> first point of contact for setting strategic directions, vulgarizing model details, managing business expectations, improving business ROI, defining timelines, adapting business requirements to technical implementationsPromotion Optimization project:• Define improvement of retraining & data quality process cross country • Implementation of temporary data quality checks for MVP POC• Implementation of backend validation checks for UX purposesTechnologies: Python, Azure DevOps, Azure ML, Snowflake, Databricks, Pycharm
Data Scientist
DS for the pilot phase of the Marketing Effectiveness project (Key Digital Program):• Model building & code improvement• Definition of data cleaning industrialization• Work in multidisciplinary squad (DE, DA, MLE, deployment leader, Marketing experts)• Cross-country backlog definition & prioritization• Code master on DS sideFrom September 21 – January 22:Acting as lead for the Data Science team working on Marketing Effectiveness for the USA, Top 1 Advertising & Promotion country • Lead of a 5 people team: 3 Data Scientists & 2 Data Analysts • Technical backlog prioritization• Features development • Communication with internal clients --> managing business expectations, improving business ROI, adapting business requirements to technical implementations
Supervisor Business Analytics - Data Scientist
Look-alike predictions for cross-sell strategy on new products for our customersCustomer Life Time Value (CLV, LTV) strategiesTechnologies: Python, RStudioServer, Teradata, Hadoop, Hive, Presto, Pyspark, Tableau
Sr Analyst Data Scientist
Customer Life Time Value (CLV, LTV) for retention and acquisition strategiesLook-alike predictions for cross-sell strategy on new products for our customersA/B testing and uplift modelsGrowth analysis (Reforge Framework)Growth: prediction of profitable clientsMultivariate Forecast with time series of sales and marketing metricsAd-hoc analysis of customer behavior correlationsTechnologies: Teradata, Python, RStudioServer, Hadoop, Hive, Presto, Tableau
Data Scientist
Customer 360 analysis and clusteringPrediction of next anniversary gift category purchaseGoogle Analytics metric extraction via API and Shiny App developed for payment form dropout analysisText mining analysisAd-hoc geolocation analysisTechnologies: SQL Server, Teradata, RStudio Server, Shiny Server, Hadoop, Tableau, Kafka
Software Developer
Development of a SQL script to run solution packages automatically.Project Leader for a new web application module.Development of software enhancements in web applications for insurance companies such as AIG, Zurich and La Segunda.Technologies: PHP, Java Script, MS SQL Server.
Software Developer
Development of software enhancements in web applications for companies such as Prosegur, Arcor and Coca Cola.Development of Multilanguage module for 5 business applications.Development of management software for the Multilanguage module.Software Technical Leader for a project in the software factory.Technologies: java, asp.net, c#, js, MS SQL Server.
Nahuel Grasso education
Master Of Science In Analytics (Graduated), Analytics, Gpa: 3.73
Information System Engineer, Management Information Systems And Services, Finished
Business Intelligence
Education record
Education record
Frequently asked questions about Nahuel Grasso
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What company does Nahuel Grasso work for?
Nahuel Grasso works for InVivo Digital Factory.
What is Nahuel Grasso's role at InVivo Digital Factory?
Nahuel Grasso is listed as Lead Data Scientist at InVivo Digital Factory.
Where is Nahuel Grasso based?
Nahuel Grasso is based in Paris, ÎLe-De-France, France while working with InVivo Digital Factory.
What companies has Nahuel Grasso worked for?
Nahuel Grasso has worked for Invivo Digital Factory, Pernod Ricard, Mercado Libre, Mercadolibre.Com, and Prisma Medios De Pago.
How can I contact Nahuel Grasso?
You can use AeroLeads to view verified contact signals for Nahuel Grasso at InVivo Digital Factory, including work email, phone, and LinkedIn data when available.
What schools did Nahuel Grasso attend?
Nahuel Grasso holds Master Of Science In Analytics (Graduated), Analytics, Gpa: 3.73 from Louisiana State University Isds.
What skills is Nahuel Grasso known for?
Nahuel Grasso is listed with skills including Sql, English, Javascript, Microsoft Sql Server, Microsoft Office, Mysql, Postgresql, and Uml.
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