Area of Interest - Deep Learning Languages Known - Python, Java, C, C++, PHP and JavaScript. Deep Learning Frameworks - Tensorflow and Keras.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
assignment3-dataset
November 11, 2019 – November 11, 2019
assignment3-dataset — GitHub repository
View ProjectFood-Delivery-System
September 20, 2019 – January 7, 2023
Food-Delivery-System — GitHub repository
View ProjectTopic-Modelling-in-Movie-Reviews
March 5, 2019 – March 5, 2019
Topic-Modelling-in-Movie-Reviews — GitHub repository
View ProjectBank-Churn-Rate-Prediction
May 5, 2018 – April 28, 2019
An artificial neural network has been developed that can predict which customers are likely to leave the bank based on their information such as credit card score, geography, age, tenure, bank balance and gender.
View ProjectHNI-Customer-Identification-Using-Face-Recognition
May 3, 2018 – May 5, 2018
Every bank has a set of HNI(High net worth individual) customers. It's difficult for the bank staff to distinguish these customers from general customers. This project uses face recognition technology to identify HNI customers present in the bank. Whenever an HNI customer is detected, a picture of the customer taken via CCTV(Laptop's webcam is used in the code as of now) camera and also a picture from the database is sent to the bank staff via a notification generated on an android application. The bank staff then compares both these images and has two choices 1) Attend the customer. 2) Reject the notification(Useful if at all any non HNI customer is recognized falsely as an HNI customer).
View ProjectOnline-Examination
December 17, 2017 – December 17, 2017
Online-Examination — GitHub repository
View ProjectBreast-Cancer-Complete-AI-Model-And-Web-Application
December 1, 2017 – November 14, 2018
Cancer detection using two models. CNN for image analysis and a simple Neural Network to predict result using report data
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a desire to learn. The diversity of projects, ranging from face recognition to churn prediction and topic modeling, suggests a broad interest in various data science applications. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment. The target role is Data Scientist, and several projects align with this, but the depth of involvement and specific contributions are not detailed.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.