Siddhartha Chatterjee
Paris et périphérie
8 k abonnés
+ de 500 relations
À propos
Siddhartha Chatterjee is an accomplished Chief Digital Officer (CDO) recognized for his…
Articles de Siddhartha
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Fantastic Social Media Data Analyst opportunity in Multinational Marketing and Communications Company
Fantastic Social Media Data Analyst opportunity in Multinational Marketing and Communications Company
Par Siddhartha Chatterjee
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Web Data Science is NOT Social-Listening
Web Data Science is NOT Social-Listening
Par Siddhartha Chatterjee
Contributions
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What do you do if your data mining project involves handling large datasets?
Sampling has been the cornerstone of statistics for decades, however, in large data projects, it's often underutilised and models are trained on excessive data leading to poor results, higher cloud clost and not helping the carbon emissions. At Club Med we ensure that minimum data is used through robust sampling and processing is limited to get the right outcomes with least carbon emissions.
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What do you do if your junior data professionals lack resilience?
Feedback is essential. At times, young professionals chase roles that is not their passion or expertise. At this points it's important to detect that early unless not done in the recruitment phase. Provide the feedback constructively with some training, monitor progress for few weeks and if things don't work redirect to a role that's more aligned with core competences.
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You’re trying to integrate data from multiple sources. What tools can help you do it right?
Data integration platforms are a critical piece of the Data & AI puzzle. I've worked my way through hadoop, cloud (all providors), databricks. Often, a platform is chosen without analysing the business outcomes from the platform. However, from my experience the choices should be made very pragmatically. Decisions of real-time vs batch are also often overlooked. A platform exist to drive business and growth by enabling interoperability between systems at scale. One fit all rarely exists but just best of breed doesn't work. The sweet spot is between foundational platforms and best of breed to address mission critical use-cases and data gouveranance.
Activité
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There is no better way to reward and recognize your team and at the same time boost productivity, than a carefully designed international travel…
There is no better way to reward and recognize your team and at the same time boost productivity, than a carefully designed international travel…
Aimé par Siddhartha Chatterjee
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Stop trying to hire the smartest people for AI roles. Last year we hired 475+ people. For sure we looked for good AI technical knowledge, but to…
Stop trying to hire the smartest people for AI roles. Last year we hired 475+ people. For sure we looked for good AI technical knowledge, but to…
Aimé par Siddhartha Chatterjee
Expérience
Formation
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European Erasmus Mundus Masters
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Data Mining and Knowledge Management (DMKM) has become essential for improving the competitiveness of businesses and increasing access to knowledge. DMKM still comes up, however, against major scientific and technological obstacles. This European Master in DMKM proposes specialized training in this field.
Since 2015 the consortium is composed of five universities from three countries: France (University of Pierre and Marie Curie Paris 6, University of Lyon Lumière Lyon 2, Polytec’Nantes)…Data Mining and Knowledge Management (DMKM) has become essential for improving the competitiveness of businesses and increasing access to knowledge. DMKM still comes up, however, against major scientific and technological obstacles. This European Master in DMKM proposes specialized training in this field.
Since 2015 the consortium is composed of five universities from three countries: France (University of Pierre and Marie Curie Paris 6, University of Lyon Lumière Lyon 2, Polytec’Nantes), Italy (University of East Piedmont) and Spain (Technical University of Catalonia). The Master in DMKM is based on experience in multi-site teaching gained from the Master’s degree in Knowledge Extraction from Data, which has been running since 1999 within three members of the consortium.
The Master in DMKM is aimed at students from all over the world. Admission is granted on the basis of a selection procedure. -
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Specialisation: Relational Data Mining
Winner of the European Erasmus Scholarship. -
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Activités et associations :started a group for organising cricket matches in Nantes, France http://www.facebook.com/groups/176117722436161/
Specialisation: Knowledge and Decision
Winner of the Pays de la Loire region scholarship for pursuing Master-1 at Polytech Nantes. -
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Cours
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Advanced Databases
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Bayesian Networks
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Image Data Mining
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Information Retreival
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Intelligent Data Analysis and Complex Systems
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Learning Graphical Models
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Logic and Knowledge Management
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Multidimentional Data Analysis
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Numerical Machine Learning
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Ontology Engineering and Semantic Web
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Optimisation
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Probability and Statistics
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Relational Pattern Mining
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Software Methodologies
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Statistical Relational Learning
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Visual Data Mining
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Projets
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Implementation of Gesture Recognition Software using Hidden Markov Models (HMM)
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LDAP Directory Server
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Part of a team of 4 to develope a LDAP directory server using Java and Postgresql.
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Multi Client Chat Server
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Batchelor Thesis work. Development of a Multi Client Chat server using C on Unix platform to improve the communication between students and professors.
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Symbolic Machine Learning Project
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Application of Machine Learning Algorithms like Classification, Clustering to make inferences on a UCI Machine Learning Dataset having information related to Human Beings.
Prix et distinctions
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Erasmus Scholarship
European Union
Winner of Erasmus Scholarship for Master-2 at Italy.
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Pay de la Loire region Scholarship
Région Pays de la Loire
Winner of Pay de la Loire region Scholarship for Master 1 studies at Polytech Nantes.
Langues
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Englisch
Bilingue ou langue natale
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French
Capacité professionnelle générale
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Italian
Notions
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Hindi
Bilingue ou langue natale
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Bengali
Bilingue ou langue natale
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