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daftpunkapi
Data Scientist
June 16, 2026 – Present
heroku_unifiedscript
November 19, 2022 – November 26, 2022
heroku_unifiedscript — GitHub repository
View Projectheroku_integrationscript
November 19, 2022 – November 21, 2022
heroku_integrationscript — GitHub repository
View Projectmergeclone_server_app
November 18, 2022 – November 19, 2022
mergeclone_server_app — GitHub repository
View ProjectData-Warehouse-Business-Intelligence
September 30, 2019 – September 30, 2019
In this project, we analyze the past criminal record data of Ireland generated by the Gardaí. We attempt to map this data with some key metrics such as population of different divisions, unemployment rates and depression levels to analyze the relation between crime types and criminal intense areas.
View ProjectComparison-Of-NoSQL-DB-Using-YCSB
August 13, 2019 – August 13, 2019
In this project, the architecture and performance of two NoSQL databases ie. MongoDB and Cassandra are compared using Yahoo Cloud Service Benchmark
View ProjectSt-Louis-City-Crime-Visualisations
August 13, 2019 – August 15, 2019
Created an array of static visualisations, an interactive online visualisation and an infographic using R studio, Tableau, Excel and Venngage
View ProjectAnalyzing-Student-Performance-Using-Data-Mining-Techniques
August 13, 2019 – August 13, 2019
Through this research, we are able to model a student’s final grade in a particular subject and link it directly to certain relevant features that influence the outcome. We use the C5.0 decision tree technique to model the data.
View ProjectExoplanet-Detection-Through-Deep-Learning
August 13, 2019 – September 30, 2019
The objective of the project is to apply deep learning techniques in finding the existence of exoplanet. This is achieved by reducing the dimension of the data, followed by generating multiple unique models, parameter tuning of models and finally validating the model.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on personal data science projects, indicating self-motivation and a passion for the field. However, the lack of team-based projects or detailed descriptions of collaboration limits the assessment of cultural fit. The projects are diverse within the data science domain, but there's no information on contributions to open source or community involvement.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.