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Data Scientist
June 20, 2026 – Present
Pneumonia_detection
November 30, 2020 – November 30, 2020
Trained a image classification model to detect if xray of a person has pneumonia or not.
View ProjectDstl-Satellite-Imagery-Feature-Detection
November 3, 2020 – December 8, 2020
Semantic segmentation of different classes in satellite imagery.
View ProjectCRUD_app
October 28, 2020 – November 3, 2020
It covers Flask Restful API and Atlas MongDb. Its a very lightweight app which perform CRUD operations. Its the skeleton of making an app. Just clone it and deploy in docker. Good to go.
View ProjectBBC-News-Multi-class-classification
May 31, 2020 – May 31, 2020
The repository contains the code solution to BBC Multi Class Classification problem hosted on Kaggle.
View ProjectGAN_MLP
April 11, 2020 – April 11, 2020
This repository contains my experiments with the Generative Adversarial setting of Neural Networks.
View ProjectAmazon-fine-food-review
March 22, 2020 – April 11, 2020
This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. It also includes reviews from all other Amazon categories
View ProjectPerformance-Metric
December 3, 2019 – December 3, 2019
This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.
View ProjectTFIDF-Vectorization
August 28, 2019 – April 9, 2020
( Scratch development ) Term Frequency Inverse Document Frequency is a vectorization technique used widely in Natural Language Processing. The vectorization effectively gives importance to rare words and important words.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards self-learning and exploration in data science, which aligns with a proactive and curious culture. However, the projects are predominantly personal and lack details on collaborative efforts or real-world impact, making it difficult to fully assess cultural fit in a team environment. The single professional experience as a Data Scientist is current but lacks details on responsibilities or achievements.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.