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Institution Profile

GITAM School Of Technology, Hyderabad

7 recorded teams · 24 verified student participants

Teams
7
Recorded teams
Participants
24
Verified members
Best Final Rank
#690
Highest finish
Best Final Score
0.9840
Peak F1 score
Teams in Top 100
0
0.0% of teams
Teams in Top 500
0
0.0% of teams

Final Team Distribution

Breakdown of teams across distinct rank tiers in the final recorded state.

7 Teams Total
Top 10(Ranks 1–10)
0 (0%)
Top 100(Ranks 11–100)
0 (0%)
Top 500(Ranks 101–500)
0 (0%)
500+(Ranks 501+)
7 (100%)

College Average F1 Growth

Change in average team F1 score from first usable snapshot to final snapshot.

Average F1 Growth
+0.1281
Initial Average
0.534767
S1 (Sep 26, 2026)
Final Average
0.662843
S34 (Sep 28, 2026)
Absolute Change
+0.128076
Final − Initial
Growth measures the trajectory of active participating teams across snapshots.

College Historical Performance (17 Snapshots)

Calculated strictly from teams belonging to GITAM School Of Technology, Hyderabad present in each snapshot.

Snapshot S34Sep 28, 2026 12:04 AM IST
Average F1:0.662843
Teams Represented:5 teams
0.84210.75830.67450.59060.5068S1S4S7S10S13S22S34

Institution Teams in Final Standings

All teams from GITAM School Of Technology, Hyderabad recorded in the final competition leaderboard.

RankTeamScoreRank ChangeScore Change
#690PiedPiper
Achanta Pranav, Madala Sai Ashish, PATLURI HARDEEP, Siddharth Vish
0.984012——
#3080Pandas.pd
chilukuri rithvik, Tanay Chetty, Vishnu
0.931692——
#4752ABYSS
Sri Harsha, shafi masthan koushik shaik, AumNamaha Thirunagari, Chenchu Vamsi Sai Krishna Thota
0.762775——
#6481Model Mavericks
Kriti Paruchuri, Ananya Krovi, Swetha Gudivada, Soujanya Sai
0.579349——
#8884NeuralForge
Naga Pranav Tatavarthy, Pranav Chandra Chenna, Pinninti Tanuj, Anpa Sai Krishna
0.058281——
#8945TechTitans
Guru Preetham Kasetty, Sathvik varma vegesna
0.056420——
#9022Vistara
prudhvi naga raj oleti oleti, Sammeta Megha Shyam, JISHNU BAIRI
0.000000——
GITAM School Of Technology, Hyderabad • Amazon ML Challenge 2026 Historical Performance | Amazon ML Challenge Explorer