Undergraduate at IIIT-Delhi
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Machine-Learning
March 26, 2021 – August 29, 2021
Machine Learning Algorithms from Scratch. A good place to start if you want to understand working of some popular machine learning based algorithms.
View Projecttolyzer
March 24, 2021 – April 19, 2021
A tool to analyze the error and attack tolerance of a given Network. Users will get a detailed analysis of the uploaded network in terms of Degree Distribution, Clustering Coefficient, Characteristic Path Length, Hubs, and behavior under error or attack circumstances.
View ProjectPredicting-ICU-Admission-COVID19
December 20, 2020 – December 26, 2020
The COVID-19 pandemic has shown us the unpreparedness of our current healthcare system and services. We need to optimize the allocation of medical resources to maximize the utilization. We are preparing this Machine Learning model based on the clinical data of confirmed COVID-19 cases. This will help us to predict the need of ICU for a patient in advance. By this information hospitals can plan the flow of operations and take critical decisions like shifting patient to another hospital or arrangement of resources within the time so that the lives of patients can be saved.
View Projectpredicto
May 1, 2020 – July 29, 2020
A web application to analyze the genome sequence of known or unknown viruses and predict its potential target organs in the human body.
View ProjectYelo-Pages
January 31, 2020 – December 26, 2020
A rating based online platform that allows service seekers to find contact details of service providers in their locality, pin, or city. It includes features like Sign in, Sign up, Favourites, Ratings & Reviews, Complaints and SOS.
View ProjectGene-Prediction-Meta-Server
November 3, 2019 – January 11, 2020
Gene Prediction Meta Server is a project that aims to bring multiple offline gene prediction tools online and integrating them into a single online platform in a user-friendly way. The related video link is attached.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong inclination towards personal projects, some of which are relevant to the Data Scientist role. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The diversity of projects (from ML to web apps) shows breadth but also a potential lack of focused depth for a senior Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are functional but do not provide insight into collaboration, problem-solving approaches, or communication style.