Sangeet Kar
Global Director Of AI at Essity
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolSangeet Kar is a Global Director of AI based in Barcelona with 10 years’ experience turning enterprise AI and analytics ambition into measurable business value across consumer goods and retail. He has led data and AI transformations at Puig, Areas and Essity, delivering double-digit improvements in forecasting accuracy, sales uplift and operational efficiency while embedding data governance and a single source of truth. Comfortable at the intersection of strategy and hands-on delivery, he has built end-to-end data ecosystems, predictive models in R/Python, and BI platforms that directly informed hundreds of millions in commercial decisions. His background spans technical roots in software and embedded systems to an MBA from ESADE and advanced AI coursework at Columbia and Coursera, enabling pragmatic, risk-aware AI adoption. An active polyglot coder, he contributes solutions across many languages to community coding challenges, reflecting a deep curiosity for algorithmic problem solving beyond the boardroom. Known for translating complex analytics into clear business impact, he scales teams and tools that make AI operational and accountable.
10 years of coding experience
6 years of employment as a software developer
Deep Learning Specialization Artificial Intelligence, Deep Learning Specialization Artificial Intelligence at CourseraB.Tech. Computer Science & Engineering, B.Tech. Computer Science & Engineering at National Institute of Technology WarangalMBA Finance Corporate Strategy, MBA Finance Corporate Strategy at EsadeArtificial Intelligence & Machine Learning, Artificial Intelligence & Machine Learning at Columbia University
Spanish, English, Hindi
Github Skills (10)
perl10
python10
raku10
data-structure9
algorithm9
data-structures9
regular-expression9
algorithms9
test-automation4
fest3
Programming languages (2)
Github contributions (5)
manwar/perlweeklychallenge-club
May 2020 - Jun 2020
Knowledge base for The Weekly Challenge club members using Perl, Raku, Ada, APL, Awk, Bash, BASIC, Bc, Befunge-93, Bourne Shell, BQN, Brainfuck, C3, C, CESIL, C++, C#, Clojure, COBOL, Coconut, Crystal, D, Dart, Dc, Elm, Emacs Lisp, Erlang, Excel VBA, Fennel, Fish, Forth, Fortran, Gembase, GNAT, Go, Haskell, Haxe, HTML, Idris, IO, J, Janet, Java, JavaScript, Julia, Kotlin, Lisp, Lua, M4, Miranda, Modula 3, MMIX, Mumps, Myrddin, Nim, Nix, Node.js, Nuweb, OCaml, Odin, Ook, Pascal, PHP, Python, Postscript, Prolog, R, Ring, Ruby, Rust, Scala, Scheme, Sed, Smalltalk, SQL, Swift, Tcl, TypeScript, Visual BASIC, WebAssembly, Wolfram, XSLT and Zig.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:23 commits, 14 PRs in 29 days
Contributions summary:Sangeet primarily contributed solutions to "The Weekly Challenge" by writing code in various programming languages. They developed and updated code in Perl, Raku, and Python to solve coding problems, including those involving string manipulation, algorithm implementation, and data structures. Their contributions also included exploring solutions using Python and other languages demonstrating a wide range of technical skills. The user demonstrated proficiency by providing multiple solutions in different languages.
nim-langknowledge-baseemacsmemberszig
sangeetkar/perlweeklychallenge-club
May 2020 - Jul 2020
Knowledge base for Perl Weekly Challenge Club members. Supported languages are Perl, Raku, APL, Bash, C++, Go, Haskell, Idris, JavaScript, Node, Python, Postscript, Prolog, R, Ruby, Rust and HTML.
Contributions:31 pushes, 8 branches in 1 month
pythonknowledge-baseapljavascripthaskell
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