ishika-gupta178
I'm a coder-turned-data enthusiast specializing in AI, Machine Learning, and Business Analytics. I'm all about using data to drive smarter decisions.
Tempe, Arizona
Pinned Repositories
Sign-Language-Recognition
Sentiment-Analysis-and-Topic-Modeling
I undertook a comprehensive project aimed at analyzing Yelp customer reviews for all U.S. pizza restaurants. By implementing natural language processing techniques such as sentiment analysis and topic modeling using python, I delved into the reviews to identify the root causes of both customer satisfaction and dissatisfaction.
Book-Recommendation-System
A data science project which recommends 10 books to the user, based on a book the user has read and liked before. Features considered: Author, Genre, Rating. Achieved an accuracy of 91%. Technologies and concepts used: Python, Flask, Pandas, Numpy, Matplotlib, Seaborn, sklearn, KNN, HTML, CSS
Machine-Learning-in-Business-Assignments
Data-Science-Job-Market
This github repo provides an analysis of the Data Science job markets in the US and India. The goal is to identify opportunities and strategies for professionals, at all levels, to succeed in these regions using data visualization in Tableau
Handwritten-Text-Recognition-using-Computer-Vision-and-Deep-Learning
Advanced-Software-Engineering-Task-1-Output
Analysis-of-Generator-Bidding-Behavior-in-the-ERCOT-Market
Application-of-DMAIC
coffee
ishika-gupta178's Repositories
ishika-gupta178/Analysis-of-Generator-Bidding-Behavior-in-the-ERCOT-Market
ishika-gupta178/Handwritten-Text-Recognition-using-Computer-Vision-and-Deep-Learning
ishika-gupta178/Data-Science-Job-Market
This github repo provides an analysis of the Data Science job markets in the US and India. The goal is to identify opportunities and strategies for professionals, at all levels, to succeed in these regions using data visualization in Tableau
ishika-gupta178/Application-of-DMAIC
ishika-gupta178/Marketing-Data-Analytics
ishika-gupta178/Wildfire-smoke-detection
ishika-gupta178/Sentiment-Analysis-and-Topic-Modeling
I undertook a comprehensive project aimed at analyzing Yelp customer reviews for all U.S. pizza restaurants. By implementing natural language processing techniques such as sentiment analysis and topic modeling using python, I delved into the reviews to identify the root causes of both customer satisfaction and dissatisfaction.
ishika-gupta178/Machine-Learning-in-Business-Assignments
ishika-gupta178/Revenue-Analysis-Dashboard-2
ishika-gupta178/Revenue-Analysis-Dashboard-1
ishika-gupta178/stayfit
ishika-gupta178/Sign-Language-Recognition
ishika-gupta178/Book-Recommendation-System
A data science project which recommends 10 books to the user, based on a book the user has read and liked before. Features considered: Author, Genre, Rating. Achieved an accuracy of 91%. Technologies and concepts used: Python, Flask, Pandas, Numpy, Matplotlib, Seaborn, sklearn, KNN, HTML, CSS
ishika-gupta178/Advanced-Software-Engineering-Task-1-Output
ishika-gupta178/forage-jpmc-swe-task-3-forked
Starter repo for task 3 of JPMC's Forage program
ishika-gupta178/forage-jpmc-swe-task-2-forked
Starter repo for task 2 of JPMC's forage program
ishika-gupta178/forage-jpmc-swe-task-1-forked
Starter repo for task 1 of the JPMC software engineering program
ishika-gupta178/forage-jpm-midas-core-forked
ishika-gupta178/coffee