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 27, 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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sourabh95

Rating: ‌1171

Estimation of Competitor Earnings

Total days spent competing: ‌153 days

Total earnings from competing: 16,800 US dollars

Estimated effective hourly rate: ‌13.7 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)
2nd

EDG Databricks Cluster Data Load Prediction Model Challenge

Technologies: Data Science, Databricks, Machine Learning, Python, Scala
Dates: Dec 6 – 17, 2021
Prize: $800
1st

PX2 QA: TestCase Automation - II (Timeline & Settings Network)

Technologies: Python, QA, Selenium
Dates: Nov 3 – 11, 2021
Prize: $800
1st

PX2 QA: Testcase Automation - I [Re-Post]

Technologies: Python, QA, Selenium
Dates: Oct 20 – 28, 2021
Prize: $1,200
2nd

NASA - QGroundControl System - PyGaze Integration

Technologies: Python, QGroundControl
Dates: May 12 – 16, 2021
Prize: $300
2nd

S2B: Migration tool features identification for Spotfire to PowerBI conversion

Technologies: Idea Generation, Power BI
Dates: Apr 29 – May 4, 2021
Prize: $350
1st

NASA QGroundControl System - Compare Unity3D vs Three.js

Technologies: 3, JavaScript, Unity3D
Dates: Apr 1 – 6, 2021
Prize: $400
1st

NASA - QGroundControl System - PyGaze Exploration

Technologies: Docker, Python, QGroundControl, Qt
Dates: Apr 1 – 6, 2021
Prize: $1,000
2nd

Graph-Attention Augmented Temporal Neural Network Build for Diagnosis

Technologies: AWS, C++, Data Science, Deep Learning, Graph Theory, Java, Machine Learning, Neural Network, Python
Dates: Mar 6 – Apr 3, 2021
Prize: $1,500

Ideation - Soro Journal Search

Technologies: Data Science, NLP, NLU
Dates: Mar 11 – 23, 2021
Prize: $300

Topcoder Copilot Evolution Ideation Challenge Series Part 6 - Workload and Success Criteria/

Technologies: Idea Generation
Dates: Mar 10 – 15, 2021
Prize: $400

Topcoder Copilot Evolution Ideation Challenge Series Part 5 - External Technical Qualifications

Technologies: Idea Generation
Dates: Mar 10 – 15, 2021
Prize: $400
2nd

Topcoder Copilot Evolution Part 4 - Topcoder Platform/ratings/data

Technologies: Idea Generation
Dates: Mar 10 – 15, 2021
Prize: $700
2nd

Fatal Injury and Violence Analytics - Miscellaneous Enhancements

Technologies: Docker, Linux, Python
Dates: Feb 11 – 17, 2021
Prize: $600

Fatal Injury and Violence Analytics - Map View & Analysis

Technologies: Python
Dates: Nov 11 – 18, 2020
Prize: $700

Platform AI - Recommending Members

Technologies: Data Science, Machine Learning, Python
Dates: Nov 3 – 17, 2020
Prize: $450
2nd

RobinHood - Check identification and data extraction

Dates: Oct 14 – 25, 2020
Prize: $700
1st

Profile Tags API - Target Datetime & Dataset Generator Script

Technologies: Data Science, Python
Dates: Sep 14 – 25, 2020
Prize: $1,000

[Ideation] Women in History Dataset

Technologies: Data Science
Dates: Jul 2 – 13, 2020
Prize: $400
1st

Challenge AI - Generating Member Skills Profile

Technologies: API, Data Science, Math, Python
Dates: Jun 26 – Jul 8, 2020
Prize: $1,400
1st

Challenge AI - Generating Relevant Tag Objects for Challenges

Technologies: Data Science, Deep Learning, Machine Learning, Python
Dates: May 5 – 18, 2020
Prize: $1,200
2nd

Infant Nutrition - Ingredients and Nutrients extraction

Technologies: Node.js, OCR, Python
Dates: Mar 11 – 16, 2020
Prize: $1,000
1st

TC - Challenge Success Prediction

Technologies: Data Science, Machine Learning, Python
Dates: Feb 14 – 22, 2020
Prize: $1,200

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✱) 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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