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Recommendation-system
April 17, 2018 – April 17, 2018
We build a movie recommender system based on several selected training sets, which estimates the movie ratings from each user.
View ProjectSmartHomeSystem
April 17, 2018 – April 17, 2018
Implemented a simulation of automated gardening system. We created a visual representation of garden and watering units Java Swings. We programmed the system to start the sprinklers at designated times. We could also manually turn on or off the sprinklers. We also kept track of the water usage and using the weather API decreased the water usage. According to the weather conditions the system would override the sprinkler schedule
View ProjectAlexa_Whats-Cooking
December 2, 2017 – April 16, 2018
What's Cooking finds recipes that use as many of the given ingredients as possible and have as little as possible missing ingredients.
View ProjectPrograming
September 20, 2017 – April 16, 2018
Algorithm And Data Structure Problems from Leetcode
View ProjectIMDB-DataBase
September 7, 2017 – April 16, 2018
developed a target application which runs queries on the MovieLens/imdb data and extracts useful information
View Projectaws-lambda
September 7, 2017 – April 16, 2018
This application is built using AWS lambda service as a backend, dynamodb for database and frontend using AngularJs
View ProjectComparisionOfContainers
April 10, 2017 – April 16, 2018
We have compared the best two containers based virtualization systems i.e. Amazon AWS, Google Cloud, we have examined the Hadoop clusters over different situation on container-based virtualization system by utilizing distinct MR benchmarks, we have evaluated the cost and performance of each provider.
View ProjectComparison-of-Containers
March 26, 2017 – September 7, 2017
This repository contains Apache Hadoop distribution benchmarking tools – TeraGen, TeraSort, NNBench and MRBench, stress test hadoop cluster nodes and, measure and compare performance metrics like load, cpu, memory, throughput, etc of containerized data source on AWS running Docker, Google Kubernetes and Native Machine.
View ProjectClass-Project-Mobile-Application
March 17, 2017 – April 16, 2018
Class-Project-Mobile-Application — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of interests, from recommendation systems and data querying to smart home automation and cloud infrastructure. This breadth could indicate adaptability and a willingness to explore different technical domains. However, the projects are predominantly personal and lack details on team collaboration or real-world impact, making a definitive assessment of cultural fit challenging. The target role is 'Data Scientist', and while some projects align, others (e.g., Java Swings, C++ mobile app) suggest a broader software development interest rather than a focused data science trajectory.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.