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Object-Detection-Scala
August 7, 2020 – August 7, 2020
Object-Detection-Scala — GitHub repository
View ProjectDiabetic-Retinopathy-Detection
August 7, 2020 – December 6, 2020
Diabetic-Retinopathy-Detection — GitHub repository
View ProjectBigData_Scala_Cat_Dog_Duck
November 13, 2019 – December 8, 2019
This project is an attempt at developing an object detection model using modern computer vision technology. The project aims to incorporate state-of-the-art techniques for object detection with the goal of achieving high accuracy in detecting objects. The model is build using the MXNet Scala Inference API or Tensorflow for scala.
View ProjectPredictive-Modelling
October 18, 2019 – October 18, 2019
Files related to Predictive Modelling course work
View ProjectTopic-Modelling
October 18, 2019 – October 18, 2019
Topic Modelling for multiple Industry services
View ProjectGame-Of-Thrones-Sentiment-Analysis-Using-PySpark
March 22, 2017 – March 22, 2017
Game Of Thrones Sentiment Analysis using PySpark
View ProjectDoctorRecommendationEngine-India
March 22, 2017 – March 22, 2017
DoctorRecommendationEngine-India — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a breadth of interest in data science applications, from computer vision to natural language processing and recommendation systems. This diversity suggests an inquisitive and self-driven individual, which can be a positive cultural fit for innovation-focused teams. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and adaptability in a professional setting. The projects are primarily academic or personal, indicating a foundational interest rather than proven industry application.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.