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math_plots
November 1, 2021 – November 1, 2021
Simple python implementations for mathematical plots
View Projectrdataviz
May 9, 2021 – May 22, 2021
Repo to contain code with working on data and plotting with R
View Projectfootball-shots-and-goals-data-analysis
April 4, 2021 – April 15, 2021
Data Analysis on Football matches in the EPL from 2011 to 2019 on Shots and Goals scored using R
View Projecttext-editor-for-markdown-files
January 19, 2020 – February 9, 2020
This is a simple text editor for markdown files built using python and tkinter for adding more notes to https://github.com/ppai22/my-notes
View Projectknn_movie_recommender
December 24, 2019 – December 8, 2022
A movie recommender that recommends movies using the K Nearest Neighbours algorithm from a list of ~5000 movies
View Projectcontribution-of-characters-to-the-mcu
November 30, 2019 – December 4, 2019
This project calculates the contribution of each character to the Marvel Cinematic Universe in terms of how much time they spend on screen. The TF-IDF ranking algorithm is used here for the purpose.
View Projectsentiment-analysis-subtitles
November 24, 2019 – November 24, 2019
A mini-project in NLP to perform sentiment analysis on subtitles of movies using TextBlob. (Work under progress)
View Projectcwc-2019-ball-by-ball-dataset
November 23, 2019 – November 23, 2019
Ball-by-ball data set generated out of the commentary data scraped for every match of the ICC Cricket World Cup 2019 from the ICC website
View Projectk-means-clustering-python
October 28, 2019 – December 22, 2019
K-Means clustering of given data set using Python without using frameworks
View ProjectCultural Fit Analysis
The candidate shows initiative through a variety of personal projects, indicating a self-starter attitude and passion for data science. The projects align well with a Data Scientist role, demonstrating a proactive approach to learning and applying relevant technologies. However, without team-based projects or work experience, assessing collaboration and broader cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approach, or communication style.