agade007
I am a person who constantly strives for solving and designing using algorithms with minimum complexity.
Pinned Repositories
Analyzing-Soccer-Data
Analyzing the league, country, player, player attributes, team and team atributes
Cyber-Insurance
Visualizing historic cyber breach data and predicting new breaches
EE552_2017S
IDEaS
Innovation , Design and Entrepreneurship at Stevens (IDEaS) web portal provides access to prototyping lab resources and interactive content.
Movie-Recomendation-System
Main aim is to generate movie recommendations for a user, given the movie they already watched and the respective rating they gave for those movies
Predictive-engine-Insurance-company-marketing-efforts
Optimizing Marketing efforts using Predictive Engine
Randomized-Lunches
A simple python/javascript based Random Team Generator
Sales-Web-App
Designed and developed a sales web application using Django framework
SSW-555WSFamilyTree
Developed testing scripts to analyze family tree using TDD approach . Implemented around 24 user stories in 3 sprints.
Video-Recommendation-System-2.0
Program that takes a clip_id (aka video_id) as input and outputs "similar" clips based on the clip's title, description, and/or category. I included metadata of around 4,000 staff picks in a dataset along with their categories.
agade007's Repositories
agade007/Predictive-engine-Insurance-company-marketing-efforts
Optimizing Marketing efforts using Predictive Engine
agade007/Analyzing-Soccer-Data
Analyzing the league, country, player, player attributes, team and team atributes
agade007/Cyber-Insurance
Visualizing historic cyber breach data and predicting new breaches
agade007/Movie-Recomendation-System
Main aim is to generate movie recommendations for a user, given the movie they already watched and the respective rating they gave for those movies
agade007/SSW-555WSFamilyTree
Developed testing scripts to analyze family tree using TDD approach . Implemented around 24 user stories in 3 sprints.
agade007/Video-Recommendation-System-2.0
Program that takes a clip_id (aka video_id) as input and outputs "similar" clips based on the clip's title, description, and/or category. I included metadata of around 4,000 staff picks in a dataset along with their categories.
agade007/EE552_2017S
agade007/IDEaS
Innovation , Design and Entrepreneurship at Stevens (IDEaS) web portal provides access to prototyping lab resources and interactive content.
agade007/Randomized-Lunches
A simple python/javascript based Random Team Generator
agade007/Sales-Web-App
Designed and developed a sales web application using Django framework