I will do lstm time series forecasting and prediction with python

Do you have sequential data and need to predict what comes next? Whether it is stock prices, energy consumption, patient vitals, sales demand, weather patterns, or sensor readings, I build LSTM and deep learning models that extract patterns from your data and deliver accurate forecasts.

I am Muhammad Ali Ejaz, a Machine Learning Engineer with 6+ years of Python experience. I work across industries including finance, healthcare, energy, retail, and research to deliver production-ready forecasting pipelines.

What I Can Build For You:

Time Series Forecasting for stocks, crypto, sales, energy, weather, and sensor data Anomaly Detection in financial, industrial, and IoT data Demand and Inventory Forecasting for retail and supply chain Sentiment-Driven Prediction by combining NLP signals with time series data Patient Outcome and Healthcare Data Modeling Classification and Pattern Recognition in sequential data Model Deployment via Flask API with clean documentation

Models and Architectures:

LSTM, Bidirectional LSTM, Stacked LSTM GRU, CNN-LSTM, CRNN Transformers and Attention Mechanisms ARIMA baselines and hybrid models

Languages and Libraries:

Python, NumPy, Pandas, Matplotlib, PyTorch,