Topcoder Member Records ‌✱ disclaimer

Do you find there is no good way at the official ‌Topcoder website to see and show others your member records? Are you interested to know, how much your fellow Topcoder members earn? This tool provides visualization of Topcoder community member records, and estimates their earnings.

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Updated on Nov 28, 2023
NOTE: Updates of member records have been disabled on Dec 14, 2023 as changes in the underlying Topcoder APIs rendered the current implementation non-functional. Currently there is no certain plan to fix it.
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tEarth

Rating: ‌1806

Estimation of Competitor Earnings

Total days spent competing: ‌287 days

Total earnings from competing: 28,250 US dollars

Estimated effective hourly rate: ‌12.3 USD / hour

Records Legend:

/ / ‌ – Topcoder Open Champion in a Data Science / Development / Design track.
1st – challenge winner
2nd – challenge runner-up
– another prize placement
– copilot (technical project manager)

Cognitive State Determination - Fault Tolerance Marathon Match

Data Science Marathon Match
Dates: Apr 1 – 18, 2022
Prize: $4,000
2nd

Cognitive State Determination Marathon Match

Technologies: NASA
Dates: Dec 21, 2021 – Jan 24, 2022
Prize: $7,000

Reclamation: Streamflow Forecast Rodeo Challenge Series - December

Technologies: Data Science, Machine Learning, NASA
Dates: Nov 24 – Dec 31, 2020
Prize: $250

pDEM - Paleo-Digital Elevation Model

Data Science Marathon Match
Dates: Dec 1 – 23, 2020
Prize: $1,000

Customer Churn (Drop Off) Modeling

Technologies: AI, Data Science, Machine Learning, Marathon Match
Dates: Oct 9 – Nov 9, 2020
Prize: $4,000

Talaria - CFO Forecasting - Sandesh - Business Voice - Discovery challenge

Technologies: Data Science, Machine Learning, Python
Dates: Aug 25 – Sep 4, 2020
Prize: $250
2nd

Rodeo II Sprint: Sub-Seasonal Climate Forecasting - temp34 Task, period #23

Technologies: Data Science, Machine Learning
Dates: Aug 4 – 18, 2020
Prize: $350

[Ideation] Women in History Dataset

Technologies: Data Science
Dates: Jul 2 – 13, 2020
Prize: $800

[Ideation] Retail Incident Prediction

Technologies: AI, Data Science, Machine Learning
Dates: Jun 10 – 23, 2020
Prize: $500

Rodeo II Sprint: Sub-Seasonal Climate Forecasting - prec56 Task, period #19

Technologies: Data Science, Machine Learning
Dates: Jun 10 – 23, 2020
Prize: $100
2nd

Rodeo II Sprint: Sub-Seasonal Climate Forecasting - temp34 Task, period #16

Technologies: Data Science, Machine Learning
Dates: Apr 28 – May 12, 2020
Prize: $350
1st

Rodeo II Sprint: Sub-Seasonal Climate Forecasting - temp34 Task, period #15

Technologies: Data Science, Machine Learning
Dates: Apr 14 – 28, 2020
Prize: $500

Rodeo II Sprint: Sub-Seasonal Climate Forecasting - temp56 Task, period #13

Technologies: Data Science, Machine Learning
Dates: Mar 17 – 31, 2020
Prize: $250

CFO Forecasting - Financial Forecast Sandesh Brand 3 - Refinement

Technologies: Data Science, Machine Learning, Python
Dates: Mar 14 – 30, 2020
Prize: $200
2nd

Rodeo II Sprint: Sub-Seasonal Climate Forecasting - temp34 Task, period #10

Technologies: Data Science, Machine Learning
Dates: Feb 4 – 18, 2020
Prize: $350

Rodeo II Sprint: Sub-Seasonal Climate Forecasting - prec56 Task, period #9

Technologies: Data Science, Machine Learning
Dates: Jan 21 – Feb 4, 2020
Prize: $100
1st

Rodeo II Sprint: Sub-Seasonal Climate Forecasting - temp56 Task, period #9

Technologies: Data Science, Machine Learning
Dates: Jan 21 – Feb 4, 2020
Prize: $500
2nd

Rodeo II Sprint: Sub-Seasonal Climate Forecasting - temp34 Task, period #9

Technologies: Data Science, Machine Learning
Dates: Jan 21 – Feb 4, 2020
Prize: $350

CFO Forecast Challenge -- Normalized Net Migrations

Technologies: Data Science, Python
Dates: Dec 12 – 22, 2019
Prize: $400
1st

Phase 2 Disaster World Prediction Challenge

Technologies: Data Science, Python
Dates: Oct 16 – Nov 7, 2019
Prize: $5,000

Phase 2 Conflict World Prediction Challenge

Technologies: Data Science, Python
Dates: Oct 16 – Nov 7, 2019
Prize: $500
2nd

CFO Forecast Code Challenge

Technologies: Data Science
Dates: Jul 27 – Aug 12, 2019
Prize: $1,500

Popular Members


✱) Disclaimer

This service is non-official, and it is not related with Topcoder company. Workload and earning estimates are based on public data available from public Topcoder APIs, and they might be incomplete and erroneous. In particular:

  • Member records include only challenges (i) in which selected member won a prize superior to $100; or (ii) which were copiloted by the member. All first=to-finish challenges are deliberately excluded from the records. Most of data science challenges (Marathon and Single Round Matches) are missing in the records, because they are not reported by the public Topcoder API used by this service (with exception of very recent Marathon Matches).
  • Some records are manually added / corrected for selected members,e.g. to include Topcoder Open victories into results.
  • The time spent by member on competing (copiloting) is estimated as the overall runtime of corresponding challenges included into this member's records. The runtime of a challenge is calculated from the challenge registration start to its submission deadline. If several challenges from member records were running on the same day, that day is counted only once. Overall, this is a very rough estimation of member worktime, which may be very different from the actual time/efforts spent by a member on its challenges.
  • Total earnings from competing are estimated as a sum of prizes won by selected member in the challenges included into his records. The public Topcoder API does not disclose the actual copiltoing payments received by copilots for each challenge, thus to estimate copiloting earning we assume the standard $600 copilot payment for regular-size challenges, and $5000 payment for Marathon Matches.
  • The effective hourly rate is estimated as the total competing (copiloting) earnings divided by 1/3 of estimated time spent by member on copiloting/competing (because the competing/copiloting time estimates are done as the total runtime of a challenge, and do not factor in ~8h out of 24h workday).

Overall, the absolute estimations of workload, earnings, and effective hourly rate should be taken with a grain of salt; however, these estimations should be adequate to compare relative earnings and workload of different members.

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