Pinned Repositories
backend-GPT
CatBoy
A short game made with a team from Canisius College Senior High School, Jakarta.
ClassyVision
An end-to-end PyTorch framework for image and video classification
COVID-19-Global-Health-Measures
Lockdown policies have been cited to help curb the outbreak of COVID-19. However, existing claims have not analyzed these policies on a global basis, neglecting the fact that it may only work on a small number of cases. Cultural influences are rarely studied, despite its importance in affecting public health outcomes. The study aims to investigate the role of culture in influencing the effectiveness of countermeasures against the novel coronavirus crisis globally. The study analyzes the effect of policy stringency in reducing mortality rate in 124 countries through panel data analysis with fixed, time, two-way, and interactive effects. The author uses three model iterations: starting with a benchmark of policy stringency and mortality rate, adding cultural variables, and controlling for other healthy, economic, and demographic variables. The models were able to find some significance in increasing the stringency of policies to reduce mortality rate. From here, the author also found that trust variables are more significant in affecting mortality outcomes compared to other cultural variables. Nevertheless, the result of model performances and further investigation on the models highlight the existence of omitted variables. This indicates that currently there is insufficient data to firmly establish a relationship between policies, culture, and COVID-19 mortality rate.
EVPreference-2019
Using Random Forest, Clustering and Logistic Regression with data bootstrapping for Electric Vehicle (EV) purchase drivers and customer segmentation from survey data. The result of analysis was used to create EV activation strategy for leading ride-hailing companyin Indonesia
Hack12athon-First-Five
Web platform to generate class engagement ideas. Made during Stanford d.school Hack12athon in 2020.
McD-Store-Clustering
Project with McDonald's Japan to formulate its expansion strategy. Used k-means clustering to analyze the stores.
President-Popularity-Functions
Project made under supervision of Professor Manfred Keil with a team at Claremont McKenna College in 2019. I analyzed the US and Chiina relation using simple panel regression with Stata.
PwC-JP-Analytics-Hackathon-2018
Code made for PwC Japan Analytics Hackathon in 2018. We were tasked to analyze the effects of price markdowns on retail sales. I used panel data regression with interactive fixed effects using the phtt package in R.
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
rivaldophilip's Repositories
rivaldophilip/backend-GPT
rivaldophilip/CatBoy
A short game made with a team from Canisius College Senior High School, Jakarta.
rivaldophilip/ClassyVision
An end-to-end PyTorch framework for image and video classification
rivaldophilip/COVID-19-Global-Health-Measures
Lockdown policies have been cited to help curb the outbreak of COVID-19. However, existing claims have not analyzed these policies on a global basis, neglecting the fact that it may only work on a small number of cases. Cultural influences are rarely studied, despite its importance in affecting public health outcomes. The study aims to investigate the role of culture in influencing the effectiveness of countermeasures against the novel coronavirus crisis globally. The study analyzes the effect of policy stringency in reducing mortality rate in 124 countries through panel data analysis with fixed, time, two-way, and interactive effects. The author uses three model iterations: starting with a benchmark of policy stringency and mortality rate, adding cultural variables, and controlling for other healthy, economic, and demographic variables. The models were able to find some significance in increasing the stringency of policies to reduce mortality rate. From here, the author also found that trust variables are more significant in affecting mortality outcomes compared to other cultural variables. Nevertheless, the result of model performances and further investigation on the models highlight the existence of omitted variables. This indicates that currently there is insufficient data to firmly establish a relationship between policies, culture, and COVID-19 mortality rate.
rivaldophilip/EVPreference-2019
Using Random Forest, Clustering and Logistic Regression with data bootstrapping for Electric Vehicle (EV) purchase drivers and customer segmentation from survey data. The result of analysis was used to create EV activation strategy for leading ride-hailing companyin Indonesia
rivaldophilip/Hack12athon-First-Five
Web platform to generate class engagement ideas. Made during Stanford d.school Hack12athon in 2020.
rivaldophilip/McD-Store-Clustering
Project with McDonald's Japan to formulate its expansion strategy. Used k-means clustering to analyze the stores.
rivaldophilip/President-Popularity-Functions
Project made under supervision of Professor Manfred Keil with a team at Claremont McKenna College in 2019. I analyzed the US and Chiina relation using simple panel regression with Stata.
rivaldophilip/PwC-JP-Analytics-Hackathon-2018
Code made for PwC Japan Analytics Hackathon in 2018. We were tasked to analyze the effects of price markdowns on retail sales. I used panel data regression with interactive fixed effects using the phtt package in R.
rivaldophilip/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
rivaldophilip/whatsapp-chatgpt
ChatGPT + DALL-E + WhatsApp = AI Assistant :rocket: :robot: