
JAVA | AI | Data Scientist | Coding
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auction_shop
November 23, 2019 – November 29, 2019
This software performs the basic functionalities of an auction shop.
View Projectvivekcool-hackathon-MyCMSMyRules
August 4, 2019 – August 4, 2019
Interviewbit academy hackathon
View ProjectArtificial_Neural_Network_-Will-Customer-leave-the-bank-
July 15, 2018 – July 15, 2018
This is basically a machine learning (Artificial Neural Network) model that helps to predict whether a bank customer leave the bank in nect 3 years based on various attributes provided in the dataset. This dataset contains data of 10000 customer.
View ProjectArtificial_Neural_Network_-Will-a-costumer-leave-a-bank-
July 15, 2018 – July 18, 2018
This is basically a machine learning (Artificial Neural Network) model that helps to predict whether a bank customer leave the bank in nect 3 years based on various attributes provided in the dataset.
View Projectvistara_hackathon
October 8, 2017 – October 8, 2017
vistara_hackathon — GitHub repository
View ProjectUHUNT_SOLUTION_IN_JAVA
May 5, 2017 – December 22, 2017
I will be providing each and every question solution of uhunt questions starred and others as well for those who code in java or can understand java
View ProjectCultural Fit Analysis
The candidate's project history shows a diverse interest in different technologies and problem domains (web development, machine learning, competitive programming). However, the projects are primarily personal and lack detailed descriptions, making it difficult to fully assess collaboration or team-oriented contributions. The target role is 'Frontend Developer', but many projects are backend (Java, Python ML) or general programming, indicating a potential misalignment or broad interest rather than specialized frontend focus. The lack of specific frontend frameworks (e.g., React, Angular, Vue) in the project technologies is a concern for a senior frontend role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.