circles_WDL

Finals Leaderboard

We are a league for data scientists
1. Data Sloths
245 pts
2. Tech Moguls
242 pts
3. Children of Jupyter
236 pts
4. NextEpoch
214 pts
5. AKITA
200 pts
6. BelManunel Soto
168 pts
7. DataChics
167 pts
8. i bellissimi di rete 4
142 pts
9. Sidereus
130 pts
10. urbanata
119 pts
circles_WDL

Finalists

We are a league for data scientists
AKITA
Xiaoxiao Ma
Student
Yu Luo
Student
Yuanliu Wanghan
Did not disclose
Challenges solved
Stage 1 - Model of integrated transports for senior citizens
Stage 2 - Patterns and predictive modelling of traffic accidents
Stage 3 - Did not submit
Stage 4 - Optimisation of the outdoor advertising in cities
BelManunel Soto
Beltran Vazquez
Data Scientist
Lúcia MoreiraA
Student @ University of Porto
Nirbhaya Shaji
Researcher @ INESC-TEC
Challenges solved
Stage 1 - Churn model for public transports
Stage 2 - Identifying road segments with potential safety hazard
Stage 3 - Missing Link: Closing the circuit in existing cycle networks
Stage 4 - Predicting air quality for outdoor activities
Children of Jupyter
Ana Almeida
Data Scientist @ Institute of Telecommunications
Bruno Silva
Researcher @ University of Aveiro
Carolina Alves
Student @ University of Aveiro
Fábio Tomaz
Data Scientist @ Altice Labs
Challenges solved
Stage 1 - Model of integrated transports for senior citizens
Stage 2 - Identification of patterns and prediction of irregular parking
Stage 3 - Predicting the demand for shared bicycles
Stage 4 - Did not submit
DataChics
María Javierre
Data Scientist @ Repsol
Raquel García Meneses
Data Scientist @ EY
Jorge Verdia
Did not disclose
Jorge Berenguer
Did not disclose
Challenges solved
Stage 1 - Churn model for public transports
Stage 2 - Predicting traffic flow in a city using induction loop sensors
Stage 3 - (Literally) Paving the way towards safer cities
Stage 4 - Did not submit
Data Sloths
Alexander Obenauff
Data Scientist
Carolina Bellani
Data Scientist
Sonia Seyed Allaei
Researcher @ Instituto Superior Técnico
Susan Wang
Data Scientist @ European Commission
Challenges solved
Stage 1 - Churn model for public transportation
Stage 2 - Predicting traffic flow in a city using induction loop sensors
Stage 3 - Predicting the demand for shared bicycles
Stage 4 - Optimisation of the outdoor advertising in cities
i bellissimi di rete 4
Alessandro Padella
Student @ University of Padua
Alessio Arcudi
Student
Francesco Vinci
Student @ University of Padua
Matteo Pozzan
Student @ University of Padua
Challenges solved
Stage 1 - Model of integrated transports for senior citizens
Stage 2 - Patterns and predictive modelling of traffic accidents
Stage 3 - (Literally) Paving the way towards safer cities
Stage 4 - Did not submit
NextEpoch
Moritz Geiger
Student
Nicholas Sistovaris
Student
Sai Pravallika Myneni
Student @ Jawaharlal Nehru Technological Uni.
Venkata Madala
Student @ Jawaharlal Nehru Technological Uni.
Challenges solved
Stage 1 - Did not submit
Stage 2 - Identifying road segments with potential safety hazard
Stage 3 - Predicting the demand for shared bicycles
Stage 4 - Attracting population to green spaces in metropolitan areas
Sidereus
Ahmed Fares
PhD Student @ INESC-TEC
Gustavo Fonseca
Student @ University of Lisbon
Rui Granja
Risk Analyst @ Natixis
Yassine Baghoussi
PhD Student @ INESC-TEC
Challenges solved
Stage 1 - Churn model for public transports
Stage 2 - Identifying road segments with potential safety hazard
Stage 3 - Predicting the demand for shared bicycles
Stage 4 - Predicting air quality for outdoor activities
Tech Moguls
Paulo Maia
Data Scientist @ NILG.AI
Joana Morgado
Researcher @ INESC-TEC
Tiago Gonçalves
Researcher / PhD Student @ INESC-TEC
Tomé Albuquerque
Researcher @ INESC-TEC
Challenges solved
Stage 1 - Churn model for public transportation
Stage 2 - Predicting traffic flow in a city using induction loop sensors
Stage 3 - (Literally) Paving the way towards safer cities
Stage 4 - Optimisation of the outdoor advertising in cities
urbanata
Shubham Jangir
Senior Data Scientist @ Zenohealth
Bharathi A
Software Engineer @ GMV
João Louro
Software Engineer
Challenges solved
Stage 1 - Churn model for public transports
Stage 2 - Predicting traffic flow in a city using induction loop sensors
Stage 3 - Predicting the demand for shared bicycles
Stage 4 - Optimisation of the outdoor advertising in cities
circles_WDL

League Leaderboard

We are a league for data scientists
General
1. Data Sloths
718 pts
2. Tech Moguls
713 pts
3. Children of Jupyter
596 pts
4. NextEpoch
575 pts
5. AKITA
564 pts
6. i bellissimi di rete 4
557 pts
7. Sidereus
550 pts
8. DataChics
547 pts
9. urbanata
544 pts
10. BelManunel Soto
541 pts
11. Money House
533 pts
12. Sustainable DTrees
521 pts
13. Old Walruses
520 pts
14. Team DSAlpha
463 pts
15. Tekorner
431 pts
16. Control Group
298 pts
17. Ladies4DS
278 pts
18. greenesolo
278 pts
19. 4 Nearest Neighbours
276 pts
20. Spark
268 pts
21. Social Outliers
251 pts
22. Mean Miners
219 pts
23. sdg11
208 pts
24. DataMiners
183 pts
25. Liore
150 pts
26. DataLifters
143 pts
27. DSinGoodHands
127 pts
28. pip Install teamname
104 pts
29. Data_Digits
95 pts
30. JAI Explorers
80 pts
31. EllasLittleRangers
0 pts
32. Hay Ekipe
0 pts
33. ML_ICAI
0 pts
34. Iberia Analytics
0 pts
35. Peppa
0 pts
36. Last Minute People
0 pts
37. Slack Overflow
0 pts
38. AI's City
0 pts
39. Data Muggles
0 pts
40. Support Victory Machine
0 pts
41. GCube Codex
0 pts
42. Abraca Data
0 pts
43. DKUK Community Team
0 pts
44. Bayesian Analytics
0 pts
45. The Data Intuits
0 pts
46. The Groovy
0 pts
47. Urban Outliers
0 pts
48. Green Data
0 pts
49. Vega
0 pts
50. Vicinanza
0 pts
circles_WDL

Participants

We are a league for data scientists
Number
of teams
50
Number
of participants
186
Countries
represented
34