I will do predictive analytics and predictive modelling

1) Service Overview

I help businesses and researchers turn raw data into reliable predictions and actionable insights. I specialize in Predictive Modelling, Machine Learning, and DL. Delivering reproducible code and clear documentation.

Industries: Finance, energy, retail, manufacturing, climate, health/sensor analytics.

Tooling: Python (NumPy, Pandas, scikit-learn), Optuna, SHAP, Statsmodels (ARIMA/SARIMAX/GARCH), PyTorch/TensorFlow, Signal Processing (Welch/STFT/DWT), GPU, SQL, and R.

2) Core Offers

A. Time Series Forecasting & Causality

• Forecasting: ARIMA/SARIMAX, VAR/TVPVAR, GARCH, Prophet, and hybrid ensembles
• Multihorizon & hierarchical forecasts; nowcasting; anomaly detection
• PCA/LDA-based indices, synthetic control (classic & stacked)
• Event study, Diff-in-Diff, Panel data models

B. Machine Learning and DL

• Classification & regression (XGBoost/LightGBM/CatBoost, RF, SVM)
• MLP, RNN, CNN, LSTM, and GRU
• Imbalance handling, cross-validation
• Feature engineering: calendar/events, weather, promotions, wavelets (DWT), STFT/Welch PSD
• Hyperparameter optimization with Optuna

Deliverables: Clean repo, notebooks, trained models, and evaluation scripts.