Developer profile

Shayan Akhtar Abedeen

@shayan-ing on GitHub ↗

Possibly Available

Repositories

GATE-DA-NOTES

This Repository contains Notes of All Gate DA Subjects. The Only Repo you will ever need for conquering GATE DA.

★ 22⑂ 6

MLDA-Semester-6-Notes

This repository contains **Semester 6 Machine Learning and Data Analytics (MLDA) notes** designed for quick learning and exam preparation. Topics include data preprocessing, visualization, PCA, LDA, and basic ML concepts with simple explanations and Python examples for beginners.

★ 1⑂ 0

AquaPulse

A MERN BASED PROJECT FOR WATER MONITORING AND REPORTING

JavaScript★ 1⑂ 0

Air-Quality-Analytics-and-Pollution-Forecasting

🌬️ AI-powered Air Quality Analytics and AQI Forecasting Platform using Random Forest, XGBoost and Prophet with Streamlit Dashboard for Smart Cities and Climate Monitoring.

Jupyter Notebook★ 0⑂ 0

Pharma-Store-Sales-Forecasting

Time series forecasting project predicting Pharma Stores sales for the next 6 weeks. Includes data preprocessing, exploratory analysis, and model implementation to generate actionable business insights.

Jupyter Notebook★ 0⑂ 0

Pharmaceutical-Sales-Analysis

Pharmaceutical Sales Analysis is a data-driven project that explores trends, performance metrics, and market dynamics within the pharmaceutical industry. It leverages analytics and visualization to uncover insights on sales patterns, product performance, and regional demand, enabling informed decision-making and strategic planning.

★ 0⑂ 0

Volt-Wise-Energy-Sorter

Algorithm-based smart grid dispatch optimization system that prioritizes renewable energy using multi-criteria sorting and custom Merge Sort.

Python★ 0⑂ 0

Customer-Churn-Prediction-Telecom

Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.

Jupyter Notebook★ 0⑂ 0

Retail-Sales-Analysis

A complete exploratory data analysis (EDA) and forecasting project focused on retail sales data. The project identifies key sales patterns, seasonal trends, and builds predictive models to forecast future demand at the item-store level.

Python★ 0⑂ 0