A data-for-good project with CMU Students Using Data for Good, measuring whether citizen-science activity around the Allegheny Land Trust’s St. John’s project has grown faster than state and county baselines. Download the write-up (PDF)
An in-progress anomaly-detection portal that flags abnormal seismic swarms in live USGS earthquake data using spatio-temporal CUSUM change detection. Research with Dr. Woody Zhu, supported by SURF.
A location-based AR app for navigation and emergency response on the UNT campus, built on Google Photorealistic 3D Tiles and Cesium for Unity. Research in UNT’s Data Visualization and eXtended Reality (DVXR) Lab.
Measuring a defender’s commitment to the ball when it is in the air and its impact on play outcomes. Submitted to the NFL Big Data Bowl on Kaggle.
Built a composite metric using weighted min-max normalization across Expected Points, Advantage Ratios, and Points Per Chance Ratios to identify which players a new team should prioritize protecting or targeting from proprietary data metrics.
A student-run mock election at the Texas Academy of Mathematics and Science: 115 voters, Texas-style ballot ordering, and a look at what ranked-choice voting can and can’t fix. Download the results write-up (PDF)
Published in bioRxiv (preprint), 2025
Debiases eBird citizen-science data with spatiotemporal subsampling, then uses a time-series model to test whether rising Cooper’s Hawk numbers help explain the American Kestrel decline.
Recommended citation: Sharma, A., Bednarz, J. C., & Kwon, J. (2025). "Modeling American Kestrel Decline Using Spatiotemporal Subsampling to Improve eBird Data Reliability." bioRxiv. doi:10.1101/2024.10.31.621376.
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Published in Wharton Sports Analytics Journal, 2025
Predicts Twenty20 International outcomes from venue-adjusted, player-level impact metrics. Regularized logistic regression reached 70.24% test accuracy on 1,029 matches.
Recommended citation: Sharma, A. (2025). "Stats & Stumps: Using Machine Learning to Predict T20I Matches with Player and Venue Data." Wharton Sports Analytics Journal.
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The lessons we can take from statistics to our lives.
Published:
The similarities between investing in the stock market and success in human relationships, presented at TEDxTAMS 2024.