I'm a Data Analytics enthusiast and Python developer who enjoys turning raw data into meaningful insights. Iβm passionate about working with Power BI, time series forecasting, and building interactive, data-driven applications.
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π Iβm interested in:
Data Analytics, Business Intelligence, Machine Learning -
π± Iβm currently learning:
Advanced Forecasting Models, Power BI Best Practices, and Python Automation -
ποΈ Iβm looking to collaborate on:
Open-source projects and real-world data challenges -
π« How to reach me:
- π§ Email: shaikhrazzaq31@gmail.com
- πΌ LinkedIn: Abdul Razzaque
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π Pronouns: He/Him
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β‘ Fun fact:
I once built a full-featured IPL Dashboard using Power BI that included live match data, squad stats, and dynamic filters ππ
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TIME-SERIES-ANALYSIS-AND-FORECASTING-FOR-STOCK-MARKET β Time series forecasting using ARIMA, SARIMA, Prophet, and LSTM
π Optional Extended Description
This repository contains a comprehensive time series forecasting project applied to real stock market data using Jupyter Notebook.
π§ Key Highlights:
- Collected data using the
yfinancelibrary - Preprocessed and transformed stock price data
- Built forecasting models with ARIMA, SARIMA, Prophet, and LSTM
- Evaluated models using RMSE, MAE, and MAPE
- Visualized predictions and trends using Matplotlib and Power BI
This project helps compare traditional statistical models with modern ML/DL methods and provides a practical forecasting pipeline for financial data.
- Collected data using the
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Python-daily- β Daily Python problems & solutions for practice
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Py-interview-questions β Python interview prep with Q&A
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Razzaque_Car_Rental β CRUD-based car rental system in Java
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RazzaqSocial β Social media prototype using client-server architecture
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YHR (Yoga and Home Remedies) β Java full-stack app for doctor appointments & wellness advice
- Stock Market Forecasting Dashboard using Google Colab + Power BI
- IPL Live Score Dashboard with dynamic visuals and slicers
- Interactive dashboards for financial and sports storytelling
π‘ Letβs build something awesome with data!