pand

Python Quant Stack

Find-s problem from machine learning

WhatsApp Chat Analysis

Working and Implementation of various Machine learning classification algorithms using realtime dataset.

Analyze Zomato restaurant data all the world and find the insights by using Python libaries and also visualize the dataset by using Power-bi

A machine learning driven system for predicting employee attrition, featuring statistical analysis, Flask API integration and Dockerized deployment.

Predictive modeling of early-career salaries using regression techniques on U.S. college institutional data, evaluating the impact of tuition, enrollment, diversity, and STEM focus on starting salary outcomes.

End-to-end retail sales analysis using Python, MySQL, Power BI and Excel, focused on sales trends, customer analysis and product performance.

Simple way to deploy a Machine Learning model using Python's Flask library.

Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.

Breast Cancer Analysis & Prediction

Analysing 14,000+ mutual fund schemes in India using Python and Power BI to uncover investment trends, AMC dominance, and NAV patterns.

A csv reconcilation cli tool

Kaggle Titanic dataset prediction with accuracy of around 75%

Google search trends analysis using python, pytrends, pandas and matplotlib

An AI-based system for classifying Diabetic Retinopathy severity using GraphCNN and DenseNet121 on retinal images.

An interactive web app for analyzing and comparing historical stock prices with dynamic visualizations. Fetches real-time stock data, provides trend analysis, and displays interactive charts like line graphs, box plots, and histograms. Features auto-refresh for live tracking and multi-stock comparisons.