My Projects
A collection of my work in data science, machine learning, and AI. Each project reflects my passion for solving complex problems and delivering impactful solutions.
How Data Can Help Delhi Breathe Again
Data Analysis
Python
Plotly
Pandas
Matplotlib
Seaborn
Developing a data-driven narrative for AQI levels in Delhi, using data from various data sources for determining possible reasons
Customer Segmentation For Online Retail Store
Clustering
Python
Scikit-Learn
Streamlit
Machine Learning
RFM Analysis
A Customer Segementation Project Analyzing Different Clustering Algorithms, Predicting Clusters, & Deploying on Streamlit
Flipkart Webscraping for NLP Sentiment Analysis
Product Analytics
Python
Web Scraping
Selenium
Automation
NLP
A Selenium Web Scraping Tool for Extracting Product Info and Reviews for NLP
Financial Transactions Analysis & Credit Limit Prediction
Data Engineering
R
Machine Learning
Financial Analysis
Time Series
Analyze, visualize, and predict financial behaviors using real-world transaction data. This R project uncovers insights into spending patterns, debt, credit utilization, and demographic trends, and predicts credit limits with machine learning.
Market Munch
SERP API
Data Analysis
Python
Statsmodels
Forecasting
Market Munch: A data-driven project that analyzes U.S. restaurant market conditions to help entrepreneurs and investors identify the best opportunities for opening new restaurants or takeout businesses
Hatespeech Detection
NLTK
Scikit-Learn
Python
Sentiment Analysis
Machine Learning
Flask
Postman
Developing a Flask-based web application for detecting hateful speech using a dataset from Kaggle
A Candlestick Image Classifier
Finance
Python
Vision Transformer
Hugging Face
Deep Learning
Machine Learning
Stocks
A Deep Learning ViT Custom Trained Model For Candlestick Pattern Recognition
Financial Tweets Sentiment Classification Using Hugging Face Models
Finance
Python
Transformer Model
Hugging Face
Deep Learning
Machine Learning
Stocks
News
A sentiment classification model for financial tweets and news.The model predicts whether a tweet is bullish, bearish, or neutral
A Reels Recommendation Algorithm
OOP
Python
Algorithms
Data Structures
Reels Recommendation
Streamlit
A recommendation system that suggests personalized Instagram Reels using graph algorithms and efficient data structures. The system combines social network analysis, content-based filtering, and engagement metrics to provide relevant recommendations