AIESEC Brno Employee Directory
CZ - Prague - Hlavní město Praha
About AIESEC Brno
symposium představuje společný prostor pro zkušené podnikatele a studenty vysokých škol, kteří se zajímají o podnikání. získané kontakty následně mohou studenti využít pro rozvoj jej... Read more
AIESEC Brno Highlights:
Contact profiles AIESEC Brno:
Employee | Department | Total Email Source | |
---|---|---|---|
Tereza Harapatova | 2 | ||
Martina Stachova | 2 | ||
Tomas Badura | 1 | ||
Hana Jelinkova | 2 | ||
Romana Pokorna | 2 | ||
Anna Janickova | 2 | ||
Kamil Uhlir | 2 | ||
Lucie Krumpholcova | 1 | ||
Aiesec čR | Communication | 5 | |
Jana Pospisilova | 2 | ||
Lukas Mech | 2 | ||
Adela Drgovaevent coordinator | 2 | ||
Jan Soukup | 3 | ||
Lucie Zajickova | 1 | ||
Tomas Chromik | 2 | ||
Radek Stepan | 3 | ||
Jan Zadrazil | 2 | ||
Ilya Nepomnyashchiy | 2 | ||
Jan Machcountry director of marketing | Marketing | 2 | |
Victor Cavalcante | 2 | ||
Eduardo Santos | 2 | ||
Cristian Rastasanu | 2 | ||
Michaela Dzurnakova | 1 | ||
Anna Slichtova | 2 | ||
Adam Foksmarketing specialist | Marketing | 3 | |
Jan Kubin | 2 | ||
Klara Chaloupkova | 2 | ||
Tereza Nikolicova | 2 | ||
Jana Meniarova | 1 | ||
Anna Zalesakova | 2 | ||
Lukas Chladek | 1 | ||
Barbora Becicova | 2 | ||
Sabina Kusakova | 2 | ||
Eva Matyasova | 2 | ||
Jakub SnorbertCountry Manager of Digital Marketing and Public Relations | PR | 3 | |
Linda Pusova | 2 | ||
Martin Kopecky | 2 | ||
Michaela Mrazova | 2 | ||
Jana Oravcova | 2 | ||
Diana Mikova | 2 | ||
Maya Machova | 1 | ||
Lucie Strakova | 1 | ||
Aiesec čB | 4 | ||
Linda Pudilova | 3 | ||
Martin Osman | 3 | ||
Nadiya Symovonyk | 2 | ||
Lukas Krsek | 2 | ||
Romana Koubova | 2 | ||
Zuzana Mikova | 2 | ||
Saviour Siawela | 2 |
AIESEC Brno Email Metrics
AIESEC Brno has 341 email addresses.
AIESEC Brno has 340 personal email addresses, .
AIESEC Brno has 1 generic email addresses.
AIESEC Brno Employee Metrics:
AIESEC Brno has email addresses in the following departments: .Email Finder
The Email Finder can find an email address with a good level of certainty. It either returns one we have in our base, or predicts one by analyzing the domain data.