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Oracle
Data Scientist
June 18, 2026 – Present
DrMonka
September 7, 2021 – December 16, 2021
📱 🚑 Dr.Monka is a mobile app which promotes tele consulting which includes text and video chat.
View ProjectAlgorithm-Visualizer
September 14, 2020 – April 25, 2021
👾 📊 React App to Visualise Algorithms. Includes sorting, pathfinding and convexhull visualizer.
View ProjectDemographic-Info
May 5, 2020 – January 6, 2021
This website can predict the age, gender and multicultural appearence.
View ProjectInstaFeed
January 24, 2020 – January 5, 2021
This App lets you login with instagram and create your own instafeed website which can be shared.
View ProjectTraffic-Sign-Classifier
December 21, 2018 – December 24, 2018
This project is made for Self Driving Car Nanodegree.
View ProjectSkin-Sense
March 20, 2018 – September 2, 2018
:diamond_shape_with_a_dot_inside: :hospital: Melanoma Skin Cancer Detection Android Application using Transfer Learning
View ProjectSkinSense
March 20, 2018 – October 4, 2018
An android application for skin cancer detection using deep learning.
View ProjectSkinSense
March 18, 2018 – September 29, 2020
🎗 This is an Android app to detect melanoma skin cancer using tensorflow mobile.
View ProjectiMoon
February 12, 2018 – March 6, 2018
The Source code for the official Android App of National Institute of Ocean Technology (NIOT) v2.0.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in mobile development and some data science applications. The current role at Oracle as a Data Scientist aligns with the target role. However, the projects are mostly individual efforts, making it difficult to assess team collaboration or broader cultural fit. The diversity of project types (web, mobile, blockchain, ML) shows adaptability, but the depth in any single area for a senior role is not clearly evident from project descriptions alone.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.