Machine Learning | Data Science | Aritifical Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Investigating-Gender-Bias-in-LLMs
March 6, 2024 – March 21, 2024
Investigating-Gender-Bias-in-LLMs — GitHub repository
View Projecttext_summarization
January 21, 2022 – February 28, 2022
A Notebook to summarise the content of a HTML file
View Projectmood-of-the-world-notebook
October 20, 2021 – December 16, 2021
It focusses to classify emotion of a country (tweets), based on sentiment attached to them, with the aim to classify the tweets based on one or more of 11 emotions
View Projectunsupervised-learning
June 16, 2021 – November 10, 2021
This project is made as a task submission to GRIP at Sparks foundation as a Data Science Intern
View Projecttag-prediction-nlp
June 10, 2021 – November 16, 2021
This repository is made as an assignment submission to Lawnics Tech Pvt.
View Projectregression-price-prediction
May 24, 2021 – May 24, 2021
A machine learning model that predicts the Sales Prices of bulldozers.
View Projectheart-disease-classification
May 22, 2021 – May 22, 2021
ML model to predict heart disease.
View Projectbeta01_SillyConArtists
October 30, 2020 – November 6, 2020
beta01_SillyConArtists — GitHub repository
View Projectbreathing_rotating_button
February 26, 2020 – March 18, 2020
A flutter package for ready to use animation
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards Data Science and Machine Learning, which aligns with the target role. However, there is a significant number of mobile development projects (Dart, Flutter, Swift, Kotlin, Objective C) that do not directly contribute to a Data Scientist role, indicating a broad but potentially unfocused skill set for this specific position. The lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.