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                 <span class="card-label">Network Graph | Project</span>
                 <span class="card-label">Network Graph | Project</span>
                 [[File:Recommendersystem_feature.png|link=Ticketmaster Bot Detection System|alt=Ticketmaster Bot Detection System|class=grid-img]]
                 [[File:Recommendersystem_feature.png|link=Ticketmaster Bot Detection System|alt=Ticketmaster Bot Detection System|class=grid-img]]
                 <span class="overlay-text">A 1st place winning hackathon project network graph system to detect bots.</span>
                 <span class="overlay-text">My team's winning network graph system to detect bots for a Duke University hackathon.</span>
             </div>
             </div>
         </div>
         </div>

Revision as of 07:34, 10 December 2024

My Highlighted Work

               Research | Paper
               GeoIP
               My research on the world of IP-based geolocation technologies.

               Recommender Systems | Paper 
               Starbucks Recommender System
               My recommender system impacting 20M+ users, generating $100M+ revenue lift.

               Time Series | Write-up
               Time Series
               My real-time energy price prediction model using time-series data.

               Data Engineering | Project
               Harvard Data System
               My work on improving maternal & child health in Ethiopia with data.

               LLM | Interactive
               WilBur - A World Bank LLM
               My interactive LLM trained on World Bank sponsored research papers.

               Network Graph | Project
               Ticketmaster Bot Detection System
               My team's winning network graph system to detect bots for a Duke University hackathon.

               Recommended
               Starbucks Recommender System
               A system impacting 20M+ users, generating $100M+ revenue lift.

               Recommended
               Starbucks Recommender System
               A system impacting 20M+ users, generating $100M+ revenue lift.

               Recommended
               Starbucks Recommender System
               A system impacting 20M+ users, generating $100M+ revenue lift.
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This page was last edited on 10 December 2024, at 07:34.
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