vladd-i
ML Engineer with a Harvard background, originally from Ukraine, now based in Copenhagen. In my downtime, I enjoy backpacking along scenic trails and baking.
Copenhagen, Denmark
Pinned Repositories
bluebikes
Improving the functionality and reliability of Bluebikes, Boston's bike-share service, by using ML to forecast station availability and develop more optimal routes for riders
class-2020-09-10
class-2020-09-17
class-2020-09-22
lerner-lab-dataset
Scraping, cleaning, merging to create a comprehensive dataset for a behavioral economics research project at the Lerner Lab, sponsored by the grant from National Science Foundation
MA-insurance-prediction
Using Differentially Private ML to Identify MA Residents Unprotected by Health Insurance From U.S. Census Data
photo_composition
Identifying patterns in photographic composition using geometric machine learning
trial_site_optimizer
Optimizing the selection of sites for conducting clinical trials with ML
ukraine-frontline
Analysis of access to basic services among people who live in the midst of the military conflict in eastern Ukraine. Using R & R Shiny to identify areas with the most needs and inform better humanitarian response. Final Project for Harvard's Gov 50: Data, Fall 2020.
vladd-i's Repositories
vladd-i/bluebikes
Improving the functionality and reliability of Bluebikes, Boston's bike-share service, by using ML to forecast station availability and develop more optimal routes for riders
vladd-i/hodp-harvard-endowment
Analyzing Harvard's endowment performance compared to peer institutions. Completed as part of the Harvard Open Data Project (HODP) Bootcamp, Fall 2020.
vladd-i/lerner-lab-dataset
Scraping, cleaning, merging to create a comprehensive dataset for a behavioral economics research project at the Lerner Lab, sponsored by the grant from National Science Foundation
vladd-i/MA-insurance-prediction
Using Differentially Private ML to Identify MA Residents Unprotected by Health Insurance From U.S. Census Data
vladd-i/photo_composition
Identifying patterns in photographic composition using geometric machine learning
vladd-i/trial_site_optimizer
Optimizing the selection of sites for conducting clinical trials with ML
vladd-i/ukraine-frontline
Analysis of access to basic services among people who live in the midst of the military conflict in eastern Ukraine. Using R & R Shiny to identify areas with the most needs and inform better humanitarian response. Final Project for Harvard's Gov 50: Data, Fall 2020.
vladd-i/class-2020-09-29
vladd-i/class-2020-10-01
vladd-i/class-2020-10-06
vladd-i/class-2020-10-08
vladd-i/class-2020-10-13
vladd-i/class-2020-10-15
vladd-i/class-2020-10-20
vladd-i/class-2020-10-22
vladd-i/class-2020-10-27
vladd-i/class-2020-10-29
vladd-i/class-2020-11-03
vladd-i/class-2020-11-05
vladd-i/class-2020-11-12
vladd-i/class-2020-11-17
vladd-i/class-2020-11-19
vladd-i/class-2020-11-24
vladd-i/class-2020-12-01
vladd-i/gov-50-solutions
vladd-i/hodp-course-enrollment
Data analysis for a Harvard Open Data Project article analyzing course enrollment changes at Harvard College in the year of COVID.
vladd-i/LEGO_minifigures
Generating non-existing LEGO minifigures using GANs and VAEs
vladd-i/lerner-lab-hypotheses-testing
Conducting statistical analyses to explore links between various emotions and economic/financial preferences using real-world datasets.
vladd-i/veo-assessment
Veo Technical Assessment
vladd-i/vlad-composer
library of algorithms to speed up neural network training